Neural Causal AI: Adversarial Invariance Learning from Heterogeneous Environments

Genomic Testing in the Presence of Unmeasured Confounding and Missing Data

Multi-Scale Spatial-Temporal Data in Brain Science: Data, Model and Theory

History of Statistics in China

Solving Large-Scale Sparse Equations with Tree Structures and Its Applications to Optical Fiber Networks

Integrating Statistical Learning and Deep Learning for Efficient and Interpretable Analysis of Complex Unstructured Data

Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling

Dynamic Synthetic Control Method for Semiparametric Time-Varying Additive Autoregression Model

A Very Dutch Scandal: Did Overhyped Stats Ruin Dutch Appetites?

A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules

Understanding the Implicit Bias of Stochastic Gradient Descent: A Dynamical Stability Perspective

Algorithms and Incentives in Statistics

Functional Principal Component Analysis of Spatially and Temporally Indexed Point Processes

Functional Neural Networks

Causal Mediation Analysis for Multilevel and Functional Data

Frequent-Voting Independence Screening for Data of Different Types or Different Dimensions

Adaptive Shrinkage Estimation for High-dimensional Change Point Detection

A Unifying Dependent Combination Framework with Applications to Association Tests

Communication-Efficient and Distributed-Oracle Estimation for High-Dimensional Quantile Regression

Efficient Learning of Directed Acyclic Graphs in Heavy-Tailed Data

Some Recent Results for P-Value Free FDR Controls

Enhancing Integrative Association Tests: Optimal Weighting Approaches in Whole-Genome Sequencing Studies

Detection and Statistical Inference on Informative Core and Periphery Structures in Weighted Directed Networks

Tackling Biased, Incomplete Data in Electronic Health Records

Bias Correction Models for Electronic Health Records Data in the Presence of Non-random Sampling

Federated Efficient Estimation of Average Treatment Effects

Integrating Transcriptomic and Pathomic Features to Reconstruct 3D Tissue Maps with Super-Resolution

A Hybrid Approach for Selecting Highly Variable Genes in Single-Cell RNA-Seq

Supervised Deep Learning with Gene Annotation for Cell Classification

A Stability Approach for Feature Selection with False Discovery Rate Control

High-Dimensional Scale Invariant Discriminant Analysis

On Functional Processes with Multiple Discontinuities

Structured Feature Ranking for Genomic Marker Identification Accommodating Multiple Types of Networks

A Bayesian Framework for Leveraging Pretrained Large Diffusion Models

Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness Against Adversarial Attacks

Directional Diffusion Models

Taming "Data-Hungry" Reinforcement Learning? Stability in Continuous State-Action Spaces

BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models

A Scalable, Interpretable, and Data-Driven Approach to Analyzing Unstructured Information

Regularizing BELIEF for Smooth Dependency

Personalized Reinforcement Learning for Healthcare: With Applications to Sepsis Management in ICU

Matrix Denoising and Completion Based on Kronecker Product Approximation

Simultaneous Decorrelation of Matrix Time Series

Tensor Factor Model Estimation by Iterative Projection

Gaussian Differential Privacy on Riemannian Manifolds

Unveiling Enhanced Privacy in Data Science via Statistical Methods

Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control

Online Local Differential Private Quantile Inference via Self-Normalization

Statistical Foundations of Deep Generative Models

Autoregressive Networks with Dependent Edges

Analysis of Large Networks

High-Order Singular Value Decomposition in Tensor Analysis

Statistical Analysis of Averaged Weighted Gradient Descent Algorithm for Decentralized Federated Learning

Hypothesis Testing in High Dimensional Linear Regression via Wild Bootstrapping

Sequential Quantile Regression for Stream Data by Least Squares

Summary Statistics-Based Association Test for Identifying the Pleiotropic Effects with Set of Genetic Variants

Nonlinear Principal Component Analysis with Random Bernoulli Features for Process Monitoring

An Integrative Multi-Context Mendelian Randomization Method for Identifying Risk Genes Across Human Tissues

Limit Theorems for U-Statistics of Determinantal Point Process via Cumulant Estimates

Quantitative Tracy-Widom Laws for Wigner and Sample Covariance Matrices

Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models

Dual-Directed Algorithm Design for Efficient Pure Exploration

Inference for High Dimensional Proportional Hazards Model with Streaming Survival Data

Screen Then Select: A Strategy for Correlated Predictors in High-Dimensional Quantile Regression

Research on the Construction of Industrial Chain and Supply Chain Network and Resilience Evaluation 产业链供应链关联网络构建及韧性评估研究

ESG Performance, Financing Cost, and High-Quality Development of Enterprises ESG表现、融资成本与企业高质量发展

Discussion on the Statistical Monitoring System of Financial Security 金融安全统计监测体系探讨

Influencing Factors and Potential Measurement of China's Export Trade under the "Belt and Road" Vision “一带一路”视域下中国出口贸易影响因素及潜力测度

The Mechanism and Impact of Returning Home to Start a Business on Improving County-Level Total Factor Productivity: Based on the Investigation of the Pilot Policy of Returning Home to Start a Business 返乡创业提升县域全要素生产率的作用机制与影响效应—— 基于返乡创业试点政策的考察

Lasso and Post-Lasso Inference for Multiple Threshold Regressions with an Application to Return Predictability

Multi-Threshold Regression with Endogeneity

Robust Estimation of Structural Instability in the Large-Dimensional Factor Model

Common Threshold Estimation in Large Heterogeneous Panels with a Multifactor Error Structure

Model Averaging for Decomposed Data

Model Averaging in Multivariate Spatial Autoregressive Model for Social Network Analysis

Averaging Method of Poisson Regression Model with Divergent Dimensions 发散维度的Poisson回归模型平均方法

Optimal Distributed Prediction by Model Averaging

Optimal Weighted Random Forests

Learning Prediction Function of Prior Measures for Statistical Inverse Problems of Partial Differential Equations

Advancements in Understanding Over-Parameterized Deep Equilibrium Models: Bridging Theory and Practice

Simulation Learning Methodology: Theory, Algorithms, and Applications 模拟学习方法论：理论，算法和应用

Understanding and Improving LLM Training: Insights into Adam and Advent of Adam-mini

Controlling the False Discovery Rate in Transformations: Split Knockoffs

Balancing Personalization and Pooling: Decision-Making and Statistical Inference with Limited Time Horizons

Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees

Large Covariance Matrix Estimation with Factor-Assisted Variable Clustering

Enhancing Decision Making with Causal Inference and Unmeasured Confounders in a Bayesian Framework

Enhanced Topic Modeling using Entry-Wise Eigenvector Analysis

Network Tight Community Detection

Is Your Data Alignable? A Geometric Approach to Single-Cell Data Integration

Active Machine Learning for Surrogate Modeling in Complex Engineering Systems

Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces

Subsampling and Rare Events Data Beyond Binary Responses

Kernel Function Packet Decomposition: From State Space Models to Compact Support Bases 核函数包分解：从状态空间模型到紧支撑基底

A Class of Partition-Based Bayesian Optimization Algorithms for Stochastic Simulations

Optimal Designs for Order-of-Addition Two-Level Factorial Experiments

An Improved K-farthest Neighbor Detection Methodology for Covariate Shift

Model-Free Subsampling Method for Massive Data Based on Uniform Designs

Focus Subsampling: A More Efficient Subsampling Method for Large-Scale Linear Classification

A General Framework to Extend Sufficient Dimension Reductions to the Cases of the Mixture Multivariate Elliptical Distributions

Quantile Regression and Homogeneity Detection of a Semiparametric Panel Data Model

A Bayesian Mixture of Exponential Family Factor Models for Uncovering Disease Progression Subtypes

Linking Brain-Wide Gene Expression and Neuroimaging Data

Multilevel Particle Filters for Partially Observed McKean-Vlasov Stochastic Differential Equations

Bayesian Fixed-Domain Asymptotics for Covariance Parameters in Spatial Gaussian Process Models

Bootstrap-Assisted Inference for Weakly Stationary Time Series

Edge Differentially Private Estimation in the Beta-Model via Jittering and Method of Moments

Modelling Matrix Time Series via a Tensor CP-Decomposition

High-Dimensional Knockoff-Assisted False Discovery Rate Control

Online Bootstrap Inference for the Geometric Median

Optimal One-Pass Nonparametric Estimation under Memory Constraint

Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing

Inverse Constrained Reinforcement Learning: From Theory to Practice

Reinforcement Learning for Precision Medicine in HIV

Flexible Regression Methods for Estimating Optimal Individualized Treatment Regimes with Scalar and Functional Covariates

A Doubly Robust Estimation in Learning Optimal Individualized Treatment Regimes with Survival Outcomes

Generalized Linear Mixed-Effects Joint Model for Longitudinal and Bivariate Survival Data

A New and Unified Method for Regression Analysis of Interval-Censored Failure Time Data under Semiparametric Transformation Models with Missing Covariates

Bayesian Transformation Model for Spatial Partly Interval-Censored Data

Impact of Zealots on Cooperation: A Study Based on the Behavioral Experiments of One-Shot Prisoner's Dilemma Games

Lifespan Connectome Growth Modeling

Learning Network-Structured Dependence from Non-Stationary Multivariate Point Process Data

Debiased Estimation and Inference for Spatial-Temporal EEG/MEG Source Imaging

Forecasting Midprice Movement of HFT Data With Bayesian Stochastic Attention-Based Neural Bag of Implicit Feature Models

Forecasting Using Nonlinear Factor Models with Nonparametrically Targeted Predictors

Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions

Efficient and Flexible LLMs-Generated Content Detection

An Algorithm to Assess Importance of Predictors in Systematic Review of Prediction Models: A Case Study with Simulations

A Gaussian Mixture Model for Multiple Instance Learning with Partially Subsampled Instances

Semi-Implicit Variational Inference via Score Matching

Estimating IRT Models under Gaussian Mixture Modelling of Latent Traits: An Application of MSAEM Algorithm

Gaussian Mixture Model with Rare Events

Mixed Models for Longitudinal Binary Outcomes with Crossed Random Effects

Adaptive Split Balancing for Optimal Random Forest

Split-and-Merge Based Simultaneous Input and State Filter for Nonlinear Dynamic Systems

Alteration Detection of Tensor Dependence Structure via Sparsity-Exploited Reranking Algorithm

Mini-Batch Gradient Descent with Buffer

Testing Non-inferiority of a New Treatment in Three-Arm Clinical Trials with Binary Endpoints

Hypothesis Testing in Gaussian Graphical Models: Goodness-of-Fit and Conditional Randomization Tests

Robust Estimation and Testing for GARCH Models via Exponentially Tilted Empirical Likelihood

A Bayesian Phase I/II Platform Design for Multiple Indications with Mixed Types of Endpoints of Toxicity and Efficacy

Elevating Federated Clustering: Deep Generative Models and Contrastive Learning Strategies

The Lose-Lose or All-Lose Consequences: Assessing the International Economic Impact of Sino–U.S. Technological Decoupling

Efficient and Provable Online Reduced Rank Regression via Online Gradient Descent

Acceleration of Stochastic Gradient Descent with Momentum by Averaging: Finite-Sample Rates and Asymptotic Normality

An Adaptive ABC-MCMC with Global-Local Proposals

Large Deviation Algorithms for the Thresholding Bandit Problem

Computationally Efficient Methods for Estimating Co-heritability of Multivariate Phenotypes Using Biobank Data

Strategy Evaluation in Non-Stationary Reinforcement Learning Environment 非平稳强化学习环境下的策略评估

Reinforcement Learning in Interval-Censored Data

Unobserved Structural Changes in the Factor-Augmented Panel Quantile Model

Reinforcement Learning for Survival Analysis

A Fast Optimal Hyperparameter Selection Based on Bandits for Streaming Data

Efficient Nonparametric Inference of Causal Mediation Effects with Nonignorable Missing Confounders

Multiply Robust Estimation for General Multivalued Treatment Effects with Missing Outcomes

Matching-Based Policy Learning with Observational Data

Prospective and Retrospective Causal Inferences Based on the Potential Outcomes Framework.

Causal Attribution with Confidence

Research on Convex Clustering for Multi-Source Data

Generalization Analysis of Deep CNNs under Maximum Correntropy Criterion

Construction and validation of an imaging omics prediction model for the efficacy of methylprednisolone in the treatment of radiation-induced brain injury 甲基强的松龙治疗放射性脑损伤疗效的影像组学预测模型构建与验证

A Copula‐Based Approach on Optimal Allocation of Hot Standbys in Series Systems

A Monte Carlo Classification Method Based on Partial Variables and Its Application in Clinical Data

Statistical Inference for Power Autoregressive Conditional Duration Models with Stable Innovations

Exploring Causal Effects of Hormone- and Radio-Treatments in an Observational Study of Breast Cancer under Semi-competing Risks Setting

A Statistical Review on the Optimal Fingerprinting Approach in Climate Change Studies

A Novel Approach for Identifying Genetic Associations with Heterogeneous Cancer Subtypes Risk

Transfer Learning with General Estimating Equations

Build an End-to-End Scalable and Interpretable Data Science Ecosystem by Integrating Statistics, ML, and Domain Sciences

Statistics and Its Applications in Forensic Science and the Criminal Justice System

Generative Adversarial Learning with Optimal Input Dimension and Its Adaptive Generator Architecture

Dynamic Prediction with Individualized Feature Selection

High-Order Statistical Expansion in Functional Estimation

Navigating the Societal Landscape of Generative AI: Opportunities and Challenges from a Statistical Perspective

Network Regression and Supervised Centrality Estimation

Self-Supervised Transfer Learning

A Statistical Theory of Regularization-Based Continual Learning

Towards a Statistical Understanding of Deep Neural Network: Beyond the Neural Tangent Kernel Theory

Deep Nonlinear Sufficient Dimension Reduction

An Adaptive Transfer Learning Framework for Functional Classification

Modeling Spatio-Temporal Extremes with Conditional Variational Autoencoders

Bayesian Biclustering and Its Application in Education Data Analysis

Topological Analysis of Seizure-Induced Alterations in the Causal Pathways of Effective Brain Connectivity

A Network-Based Decentralization Scheme for Recommender Systems

Is Knowledge All Large Language Models Needed for Causal Reasoning?

On Tracking Structural Changes in Dynamic Heterogeneous Networks

PhiBE: A Physics-Informed Bellman Equation for Continuous Time Reinforcement Learning

Federated Learning of Robust Individualized Decision Rules with Application to Heterogeneous Multi-Hospital Sepsis Population

Fixed and Random Covariance Regression Analyses

Latent Subgroup Analysis with Observational Data

RWE-GPT: A Large Scale Pretrained Foundation Model with Negative Control Outcomes for Debiased Real-World Evidence Generation

Integrated Analysis and Mining of Large-Scale Biomedical Data

Development of A Large Language Model for Electronic Health Record Information Extraction

Online Statistical Inference for Low-Rank Tensor Learning

Semi-Confirmatory Factor Analysis for High-Dimensional Data with Interconnected Community Structures

Assumption Matters: A Semiparametric Analysis of the Average Treatment Effect on the Treated

Mendelian Randomization Analysis with Pleiotropy-Robust Log-Linear Models for Binary Outcomes

Enveloped Huber Regression

Implicit Generative Prior for Bayesian Neural Networks

Estimation of Over-parameterized Models from an Auto-Modeling Perspective

A Statistical Analysis of an Image Classification Problem

Inference with Adaptively Collected Data

Holdout Predictive Checks for Bayesian Model Criticism

Wasserstein F-Tests for the Fréchet Regression on the Bures-Wasserstein Manifold

Observed Best Prediction for Small Area Counts

Estimation of Low Rank High-Dimensional Multivariate Linear Models for Multi-Response Data

Minimax Regret Learning for Data with Heterogeneous Sub-populations

BinomialRF: Interpretable Combinatoric Efficiency of Random Forests to Identify Biomarker Interactions

Test of Conditional Independence in Factor Models via Hilbert-Schmidt Independence Criterion

Testing the Effects of High-Dimensional Covariates via Aggregating Cumulative Covariances

A Distribution Free Conditional Independence Test with Applications to Causal Discovery

Rank-Based Indices for Testing Independence between Two High-Dimensional Vectors

Kernel Ordinary Differential Equation

Estimation of Individualized Combination Treatment Rule

Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data

Estimating Heritability of Time-to-Event Traits Using Censored Multiple Variance Component Model

Privacy Preserving Survival Analysis Based on Federated Gradient Boosted Trees

Bayesian Estimation of Partial Functional Tobit Censored Quantile Regression Model

Factor-Augmented Transformation Models for Interval-Censored Failure Time Data

A New Statistic that Integrates Statistical Significance and Clinical Significance for Assessing the Progression of Pulmonary Nodules

Correlation Trilogy of UWF-based Myopia Prediction: Copula, OU, and Large Model

Powerful, Scalable and Resource-Efficient Meta-Analysis of Rare Variant Associations in Large Whole Genome Sequencing Studies

Construction and Application of Crime Prediction Effectiveness Index 犯罪预测效果指数构建与应用

Towards Precision Oncology Discovery: Four Less Known Genes and Their Unknown Interactions as Highest-Performed Biomarkers for Colorectal Cancer

Microbial Causal Mediation Inference with Microbiome/Metagenomic data

Adaptive Estimation in Multivariate Response Regression with Hidden Variables

Manifold Learning for Noisy and High-Dimensional Datasets

Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies

New Thinking and Development in Data Analysis 数据分析的新思维与新发展

From Specific Models to LLMs: Revolutionizing Problem Solving with Generative AI

Predicting Total Retail Sales of Consumer Goods Based on Web Search Data and Deep Neural Networks 基于网络搜索数据和深度神经网络的社会消费品零售总额预测研究

A Study on Empowering High Quality Development and Efficiency Improvement Path of Industrial Industry with New Productivity: Empirical Analysis Based on Random Forest Algorithm 新质生产力赋能工业行业高质量发展及其效率提升路径研究—基于随机森林算法的实证分析

Detection and Attribution Analysis with Estimating Equations

Detecting Marine Heatwaves Below the Sea Surface Globally Using Physics-Informed Statistical Learning

A Bayesian Nonstationary Model for Spatial Binary Data with Application to Characterizing Surface Marine Heatwaves

Global Carbon Flux Estimated Using EnKF with In-situ and Satellite CO2 Observations

Robust Design for Order-of-Addition Experiments

Physical Parameter Calibration

Adaptive Grid Designs for Classifying Monotonic Binary Computer Simulations

Construction of Orthogonal-Maxpro Latin Hypercube Designs

Two-Way Homogeneity Pursuit for Quantile Network Vector Autoregression

Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series

Transfer Learning for Spatial Autoregressive Models

CP Factor Model for Dynamic Tensors

General Pairwise Comparison Models

RMA: Ranking Based on Model Averaging

Demographic Parity-aware Individualized Treatment Rules

An Optimal Two-Step Estimation Approach for Two-Phase Studies

Latent Subgroup Identification in Image-on-Scalar Regression

Biomarker Identification Using High Dimensional Inference with An Application in CAR-T Cell Immunotherapy

Functional Tensor Regression

Streaming Tensor Factorization

Filtering and Estimating the Renewal Hawkes Process

Nonparametric Second-Order Estimation for Spatiotemporal Point Patterns

Fitting Multivariate Hawkes Process with Interval Count Data

Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations

Application of Intelligent Statistical Analysis in Biotechnology and Medical Treatment 智能化统计分析在生技医疗上之应用

Statistical Measurement and Application of Industrial Big Data 工业大数据统计测度及其应用

Promote Sign Consistency in Cure Rate Model for Credit Scoring

Industrial Intelligence and Corporate Environmental Performance: An Industry-Linked Perspective

High-Dimensional Bootstrap and Asymptotic Expansion

Central Limit Theorem in Exponential Graphs 指数图中心极限定理

Large Dimensional Robust Spiked Covariance Matrix and Order Estimation

Double Shrinkage Priors for a Normal Mean Matrix

Decentralized Learning of Quantile Regression: A Smoothing Approach with Two Bandwidths

Tuning-Free Sparse Clustering via Alternating Hard-Thresholding

Orthogonality Specification Testing With Complex Survey Data

Communication-Efficient Distributed Subgroup Learning

Modularity Based Methods for Network Data

Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern

ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence

Efficient Estimation for Longitudinal Networks via Adaptive Merging

Enhancing High-Dimensional Statistical Learning Through Random Matrix Theory: Reviving Pseudo-Inverses

Operations with Concentration Inequalities

Asymptotic Properties of K-means and Its Modification under High Dimensional Settings

Regression Analysis of Neuroimaging Data Leveraging Deep Neural Networks

Interpretable Super-Resolution Dimension Reduction of Spatial Transcriptomics Data by DeepFuseNMF

Algorithms for Ridge Estimation with Convergence Guarantees

Manifold Fitting: The Next Frontier in Single-Cell RNA Clustering and Its Potential Applications

Autoregressive Networks: Node Heterogeneity, Homophily, and Beyond

A Sparse Latent Space Model for Text Network

A Latent Space Model for Weighted Keyword Co-occurrence Networks with Applications in Knowledge Discovery in Statistics

Semiparametric Analysis of Directed Network Formations

Local Clustering for Functional Data

Gaussian Approximation for Thresholding Statistics

Distribution-Free Prediction Intervals Under Covariate Shift, With an Application to Causal Inference

Knockoff-Based Statistics for the Identification of Putative Causal Genes in Genetic Studies

Theory, Optimization and Application of Policy Evaluation Methods: Case Studies of DID, SCM, RDD and PSM 政策评估方法的理论、优化与应用:以DID、SCM、RDD和PSM为例

Employer Brand Evaluation Method Based on Online Emotional Analysis and LDA-Kano Model

Online Commodity Recommendation Model for Interaction between User Ratings and Intensity-Weighted Hierarchical Sentiment: A Case Study of LYCOM

Interval-Valued Functional Clustering Based on the Wasserstein Distance Considering the Interval Distribution Information with Application to Air Quality Data

Research on the Measurement of Income Distribution of Data Value Chain Balance Fairness and Efficiency

Multidimensional Cloud Model Based Assessment and its Application to the Risk of Supply Chain Financial Companies

Integrated Optimization of Kernel Correlation Filtering Algorithm Based on the Benefit of Doubt Method

“The Belt and Road” Network Analysis and Spatial Spillover Effect “一带一路”网络分析及空间溢出效应

Network Analysis and Spatial Correlation of Common Prosperity 共同富裕的网络分析与空间关联

Statistical Measurement and Spatial Difference of Chinese Path to Modernization Level Based on Provincial Dimension 基于省域维度中国式现代化水平的统计测度及空间差异

Using the NP-UNet Model to Automatically Quantify the Non Perfusion Area of Retinal UWF-SS-OCTA in Patients with Ischemic Retinal Disease 利用 NP-UNet 模型自动量化缺血性视网膜疾病患者视网膜 UWF-SS-OCTA 的无灌注区

Multi Angle Subgroup Ensemble Learning Based on Tensor Decomposition 基于张量分解的多角度亚组集成学习

Dynamic Matrix Recovery 动态矩阵恢复

An Improved Principal Hessian Directions Method for Dimension Reduction

A Novel Method for Synthetic Controls with Interference

Identifying Causal Effects Using Instrumental Variables From the Auxiliary Dataset

Penalized Sparse Covariance Regression with High Dimensional Covariates

Quantile Forward Regression in High-Dimensional Distributional Counterfactual Analysis

A Tuning-Free Robust Approach for High-Dimensional Regression with Missing Covariates

Parameter Identification of Random Wing Model Based on Deep Feature Fusion 基于深度特征融合的随机机翼模型参数辨识

A Distribution Factor Clustering Method Based on Gaussian Mixture Model 基于高斯混合模型的分布因子聚类方法

Stochastic Dynamical Analysis for Renewable Power System Excited by Multiplicative Fractional Gaussian Noise Based on Graph Neural Network

Limit Theorems for Continuous State Nonhomogeneous Markov Chain

Green Matching: An Efficient Parameter Estimation Method for Complex Dynamical Systems 格林匹配：复杂动力系统的一种高效参数估计方法

Stratified Permutational Berry-Esseen Bounds

Using Synthetic Data to Regularize Maximum Likelihood Estimation

Atypical Dynamic Network Reconfiguration and Genetic Mechanisms in Patients with Major Depressive Disorder

Citation Counts Prediction of Statistical Publications Based on Multi-Layer Academic Networks via Neural Network Model

A Community Detection Algorithm Based on Spectral Co-clustering and Weight Self-Adjustment in Attributed Stochastic Co-block Models

Two-Step Estimation Procedure for Copula-Based Parametric Regression Models for Semi-competing Risks Data

Constructing a Three-Dimensional Eddy-Resolving Hydrographic Dataset in West Pacific Ocean Using Ensemble Kalman Filter

Empowering Mental Health Insights: The Synergy of Knowledge Graphs and Large Language Models

Total Variation Regularized Multi-Matrices Weighted Schatten p-norm Minimization for Image Denoising

Applying a Collaborative Learning Framework Based on Pyramid Shaped Visual Transformers for Uncertainty Information in Fundus Image Classification, Segmentation, and Object Detection Tasks 将基于金字塔型视觉变换器的不确定性信息共学习框架用于眼底图像的分类，分割以及目标检测任务

Aggregate Spectral Clustering for Multi-Layer Popularity Adjusted Block Model

Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs

Estimation of Non-Gaussian Factors Using Higher-Order Multi-Cumulants in Weak Factor Models

One-Way and Two-Way Matrix Factor Models for Matrix Sequences

Structural Dimension Reduction in Bayesian Networks

Two-Stage Gene Selection of Prior Information Fusion and Its Application in Omics Data Mining 融合先验信息的两阶段基因选择及其在组学数据挖掘中的应用

Power-Enhanced Projection Test for High-Dimensional Mean Vectors

Fast and Stable Estimation for Structural Break Models with Endogenous Regressors

Simultaneous Outlier Detection and Prediction for Kriging with True Identification

Time-Varying Mediation Analysis for Incomplete Data with Application to DNA Methylation Study for PTSD

Time-Varying Home Advantage in the English Premier League: A Causal Discovery Method for Non-Stationary Causal Processes

A Semiparametric Gaussian Mixture Model for Chest CT-based 3D Blood Vessel Reconstruction

Efficient Training Algorithms for Neural Networks 神经网络的高效训练算法

Conditional Stochastic Interpolation for Generative Learning

Score Identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

Gaussian Denoising for Generative Learning

Cortical Surface Alignment Based on Continuous Structural Connectivity

TCRpred: Incorporating T-Cell Receptor Repertoire for Clinical Outcome Prediction

Brain Aging Chart for Understanding Complex Aging Process via Multimodal Data Integration

LP-Micro: Explainable Longitudinal Prediction Using Machine Learning Methods on Disease Outcomes from Microbiome Data

Multiple Testing of Linear Forms for Noisy Matrix Completion

CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control

Real-Time Selection under General Constraints via Predictive Inference

Algorithm-Agnostic Inference After Change Point Detection

Research on the Construction of Theoretical Framework of Intelligent Academic Evaluation 智能学术评价的理论框架构建研究

Government Attention Index for National Governance Modernization with Its Application — Measurement Based on News Text 国家治理现代化政府注意力指数构建及其应用

Statistical Analysis Methods and Applications in Financial Networks under the Background of Digital Intelligence 数智化背景下金融网络统计分析方法与应用研究

Network Statistics of Economic and Social Systems in the Age of Data Intelligence 数智化时代经济社会系统网络统计

A Parsimonious Joint Model of Survival Outcomes and Time-Varying Biomarkers

A Bayesian Approach to Response Optimization on Data with Multistratum Structure

Machine Learning-Driven Data Integration for Precision Medicine

Improved Joint Modeling of Longitudinal and Survival Data Using a Poisson Regression Approach

Multi-Modal Data Integration via Orchestrated Approximate Message Passing

Eigenvectors Fluctuations and Limit Results for Graphon Estimation

Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift

Compilation Methods for Input-output Tables in the Digital Economy 数字经济投入产出表编制方法

Internet Usage and Economic Resilience of Low-Income Households 互联网使用与低收入群体家庭经济韧性

International Progress and Implications of Research on Statistical Measurement of the Digital Economy 数字经济统计测度的国际进展及对中国的启示

Analysis of Industrial Correlation Effect of Digital Economy in Northeast China 东北地区数字经济产业关联效应分析

Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models

A Statistical Perspective of LLMs: Geometry of Embeddings in Transformers

Tightness of SDP and Burer-Monteiro Factorization for Phase Synchronization in High Noise Regime

Dyadic Reinforcement Learning

Kernel Variable Importance Measure

Distribution-Free Prediction Bands for Clustered Data with Missing Responses

Integrative Nearest Neighbor Classifiers for Block-missing Multi-modal Data

Residual Importance Weighted Transfer Learning for High-Dimensional Linear Regression

Multi-Objective Tree-Based Reinforcement Learning for Estimating Tolerant Dynamic Treatment Regimes

Interim Analysis in Sequential Multiple Assignment Randomized Trials for Survival Outcomes

Functional Linear Operator Quantile Regression for Sparse Longitudinal Data

Principled Random Forests: Uncertainty Quantification for Tree Structure Models with Robustness to Stratification Errors

Engression: Extrapolation for Nonlinear Regression?

On the Possibility of Doubly-Robust Root-n Inference

Long-Term Causal Inference under Persistent Confounding via Data Combination

Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique

Minimax Optimal Methods for High-Dimensional Doubly Sparse Linear Regression 高维双稀疏线性回归的极小极大最优方法

Subset Selection EM Algorithm: Statistical Analysis and Applications

Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression

Corporate Risk Disclosures, Stock Price Comovement, and Expected Returns

Mitigating Estimation Risk in High Dimensional Portfolio Selection

Learning the Stochastic Discount Factor

On the Inconsistency of Cluster-Robust Inference and How Subsampling Can Fix It

Three-Dimensional Heterogeneous Panel Data Models with Multi-Level Interactive Fixed Effects

DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning

Smoothed Quantile Regression for Panel Data with Mixed Group Structure

Two Phases of Scaling Laws for Nearest Neighbor Classifiers

Accelerated Gradient Algorithms with Adaptive Subspace Search for Instance-Faster Optimization 实例更快的加速梯度下降算法

Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning

Understanding the In-Context Learning Capabilities of Large Language Models

Estimation and Selection of High Order Spatial Autoregressive Models with Adaptive Elastic Net

Applications of Functional Dependence to Spatial Econometrics

Testing the Number of Network Communities Using the Eigengap Ratio

Dynamic Spatial Panel Data Models with Interactive Fixed Effects: M-Estimation and Inference under Fixed or Relatively Small T

Debiased Estimating Equation Method for Versatile and Efficient Mendelian Randomization Using Large Numbers of Correlated and Invalid SNPs with Weak Effects

Policy Learning with Distributional Welfare

The Promises of Parallel Outcomes

Few-Shot Multi-Task Learning with MetaSP

Multiply Robust off-Policy Evaluation and Learning under Truncation by Death

Combining Probability and Non-probability Samples Using Semi-parametric Quantile Regression and a Non-parametric Estimator of the Participation Probability

Discovery and Inference of Possibly Bi-directional Causal Relationships with Invalid Instrumental Variables

Generalized Entropy Calibration for Doubly Robust Estimation under Missing at Random

Principal Stratification with Continuous Post-Treatment Variables: Nonparametric Identification and Semiparametric Estimation

Extreme-Based Causal Effect Learning (EXCEL) with Unmeasured Light-Tailed Confounding

Covariate Adjustment in Randomized Experiments with Missing Outcomes and Covariates

Flexible Sensitivity Analysis for Causal Inference in Observational Studies Subject to Unmeasured Confounding

Decoupled Convergence of Two-Time-Scale Stochastic Approximation

Trustworthy Reinforcement Learning: Safety Constraints and Uncertainty Quantification

Distributed Statistical Inference under Heterogeneity

Guided Adversarial Robust Transfer Learning with Source Mixing

Aggregating Dependent Signals with Heavy-Tailed Combination Tests

An Integrative Multi-Context Mendelian Randomization Method for Identifying Risk Genes Across Human Tissues

The Fine Structure of Volatility Dynamics

Estimating the Efficient Frontier

Can Machines Learn Weak Signals?

Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization

A Distribution-Free Empirical Bayes Approach to Multiple Testing with Side Information

Evidence Transportation with Aggregate Summary Information

Learning Invariant Representations for Algorithmic Fairness and Domain Generalization with Minimax Optimality

Model-Free Variable Importance Testing with Machine Learning Methods

The Value of Data - Exploratory Measurement Based on Platform Companies 数据的价值--基于平台公司的探索性测算

Estimation of Data Asset Value: International Experience and China's Exploration 数据资产价值估算：国际经验与中国探索

Research on the Reconstruction of Production Function under Data Asset Accounting 数据资产核算下的生产函数重构问题研究

How the Capitalization of Data Elements Affects GDP: Theoretical Basis and Real Evidence 数据要素资本化核算何以影响GDP：理论基础与现实证据

Issues with Inverse Probability Weighting and Model-Based Prediction for Non-probability Samples

Combining Data from Mobile Network Operators and Others for Official Statistics

A New Class of Robust Linear Estimators

Inductive Matrix Completion through Transfer Learning

Multiple Sample Studentized Tests：Random-Lifter Approach

Variational Bayesian Logistic Tensor Regression with Application in Image Recognition

Functional Clustering for Longitudinal Associations between Social Determinants of Health and Stroke Mortality in the US

Multiple Threshold Detection and Subgroup Identification

The Symbiosis of Prosocial Behavior and Network Groups 亲社会行为与网络群体的共生性

Inequality Shapes Strategies in the Infinite Repeated Prisoner's Dilemma Games

Research on Traceability of Social Network Communication 社交网络传播溯源研究

A New Framework for the Study of Multi-Label Classification

Streamer Dynamics in Live Streaming Commerce

Data-Driven Intelligence: Promoting the Evaluation and Optimization of the Business Environment 数据智能驱动：促进营商环境的评估与优化

Measurement of Node Importance in Social Networks 社会网络中节点的重要性度量

Network-Adjusted Covariates for Community Detection

Data-Driven Minimax Optimization with Expectation Constraints

Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

Optimal and Efficient Thompson Sampling Algorithms for Bandits and Reinforcement Learning

Deconvoluting Cell State Distribution From Bulk RNA-Seq Data

Conditional Transcriptome-Wide Association Study for Fine-Mapping Candidate Causal Genes

Statistical Inference on Road Traffic Injury Based on the Media Data 基于媒体报道的道路交通伤害伤亡数据的统计推断

A Study of Confounder Adjusting Methods in ITE Estimation Based on CF under High Dimensions

Unique Solution and Significance Test of Solution in Factor Analysis

Growth Curve Mixture Model with Toeplitz Structured Covariance

Modeling Heat Transfer Properties in an ORC Direct Contact Evaporator Using RBF Neural Network Combined with EMD

Joint Mean-Angle Model for Spatial Binary Data

Unified Principal Components Analysis of Irregularly Observed Functional Time Series

Factor Modelling for Matrix-Variate Functional Time Series in High Dimensions

Functional Data Analysis with Covariate-Dependent Mean and Covariance Structures

Differential Inference for scATAC-Seq Data

Revisiting the Poisson Autoregressive Model: Structure and Statistical Inference 重访泊松自回归模型：结构与统计推断

Hypothesis Test of General Network Models 一般网络模型的假设检验

Transfer Learning in High-Dimensional Network Regression Model

Community Detection in Weighted Networks

Community Detection with Heterogeneous Block Covariance Model

Residual Permutation Test for High-Dimensional Regression Coefficient Testing

Inference for Changing Periodicity, Smooth Trend and Covariate Effects in Nonstationary Time Series

Community Extraction of Network Data under Stochastic Block Models

Path Selection for Achieving "One Network" Economic Statistical Accounting From the Source of Methodology, System, and Technology Application 从方法制度与技术应用源头实现经济统计核算“一网统”的路径选择

Research on Modernization and Innovation in Cultural and Tourism Statistics 文化和旅游业统计现代化发展问题与创新研究

Measurement, Identification and Response Mechanism of China's Economic Growth Risk under High Dimensional Data 高维数据下中国经济增长风险的测度、识别与应对机制

Literature Review and Development Prospect of Economic Statistics Papers 经济统计论文文献评析及发展展望

Deep Neural Network for Partially Linear Subdistribution Hazard Model

Fault Diagnosis of Rolling Bearings based on WOA-ART and Improved DenseNet 基于 WOA-ART 和改进的 DenseNet 的滚动轴承故障诊断

Economic Policy Uncertainty, Systemic Financial Risks, and High-Quality Economic Development 经济政策不确定性、系统性金融风险与经济高质量发展

Research on Patent Value Evaluation Based on Entity Recognition 基于实体识别的专利价值评估研究

Panel Quantile GARCH Models under Homogeneity

Sign-Based Tests for Structural Changes in Multivariate Volatility

Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models

A Consistent Specification Test for Expectile Models

An Adaptive Null Proportion Estimator for False Discovery Rate Control

Conformal Inference, Covariate Shift, and De-biased Two-Sample U-Statistics

False Discovery Rate Control for Structured Multiple Testing: Asymmetric Rules and Conformal Q-Values

Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage

High-Dimensional Covariance Matrix Estimation under Dynamic Volatility Models: Asymptotics and Shrinkage Estimation

Robust Estimation of Number of Factors in High Dimensional Factor Modeling via Spearman's Rank Correlation Matrix

An Efficient Multivariate Volatility Model for Many Assets

Online Change-Point Detection for Matrix-Valued Time Series with Latent Two-Way Factor Structure

Parsimonious Generative Machine Learning for Non-Gaussian Tail Modeling and Risk-Neutral Distribution Extraction

A Generalization Sample Learning Method of Deep Learning for Semantic Segmentation of Remote Sensing Images

EWMA Control Chart for Simultaneously Detecting Dual Parameters of Beta Distribution 同时检测Beta分布双参数的EWMA控制图

Tensor Quantile Regression Based on Elastic Net Penalty with Its Applications

Research on the Impact of Financial Accessibility on the Value of Ecosystem Services 金融可得性对生态系统服务价值的影响研究

Current Status and Prospects of Statistics and AI in Industry 统计学、AI在业界的现状和展望

Applications and Developments of Artificial Intelligence in Medical Imaging and Clinical Practice 人工智能在医学影像及临床中的应用与发展

AI for Drug Discovery - Virtual Screening and Foundation Model

Strategic Statistical Learning 策略统计学习

Nonlinear Central Limit Theorem for the Gambling Machine Problem 赌博机问题的非线性极限定理

Application of Quantum Technology in Reinforcement Learning 量子技术在强化学习中的应用

Strong Law of Number and Ergodic Properties under Sublinear Expectation 次线性期望下的强大数定律与遍历性

Variational Bayesian Approach for Analyzing Interval-Censored Data under the Proportional Hazards Model

Bayesian Analysis of Partial Functional Linear Additive Regression Model for Censored Data Based on Heavy-Tailed Distributions

Bayesian Regression Analysis for Elliptical Dependent Variables

Emotions Heard: Unveiling the Influence of Broadcasters' Emotional Dynamics and Gender on Live Streaming Conversion

Bayesian Analysis of Nonlinear Structured Latent Factor Models Using a Gaussian Process Prior

The Empirical Bayes Estimators of the Variance Parameter of the Normal Distribution with a Conjugate Inverse Gamma Prior under Stein's Loss Function

Local Causal Structure Learning and Causal Effect Estimating in the Presence of Latent Variables

Multiply Robust Causal Inference in the Presence of an Error-Prone Treatment

Causal Effect of Functional Treatment

Statistical Learning Estimation of Treatment Effect Under Covariate-Adaptive Randomization

Privacy-Preserving Community Detection for Locally Distributed Multiple Networks

Dynamic Models Augmented by Hierarchical Data

An SPDE Approach to Variational Inference for Log-Gaussian Cox Process

Learning from Vertically Distributed Data across Multiple Sites: An Efficient Privacy-Preserving Algorithm for Cox Proportional Hazards Model with Variable Selection

New Composite Score to Detect Disease Progression in Alzheimer's Disease

Differentially Private Data Collection with Matrix Masking

Joint Modeling in Presence of Informative Censoring on the Retrospective Time Scale with Application to Palliative Care Research

Model Averaging Based Semiparametric Modelling for Conditional Quantile Prediction

Bootstrapping the Double-Weighted Predictability Test for Predictive Quantile Regression

Recent Developments of A General Minimum Lower-Order Confounding Criterion

Enhancing the Power of OOD Detection via Sample-Aware Model Selection

Unconditional Quantile Regression for Streaming Data Sets

Shupai Big Model Platform (A Large Model Platform Based on Ai Computing Power Management, Helping You Create Private Large Models In 30 Minutes) 数派大模型平台（一款基于基于AI算力管理的大模型平台，帮您30分钟创建私有大模型）

Computing Power Drive, Data Empowerment, Build a New Pattern of Digital Economy Development 算力驱动,数据赋能,构建数字经济发展新格局

Application Practice and Reflection of Artificial Intelligence Technology in Life Sciences 人工智能技术在生命科学的应用实践及思考

Industry Empowerment Based on the Nine Day Model 基于九天大模型的行业赋能

Ascending AI Accelerates the Deepening of Artificial Intelligence Towards Reality 昇腾AI加速人工智能走深向实

A Distributed Ensemble Algorithm for Learning Causal Bayesian Network Structure from Large-Scale Data

Multidimensional Aging Prediction Model Based on Proteomics 基于蛋白质组学的多维度衰老预测模型研究

Study on Causal Association between Abnormal Renal Function Indicators and Carotid Plaque Formation 肾功能指标异常与颈动脉斑块发生的因果关联研究

Mid- to Late-Life Trajectories of Depressive Symptoms and Risk of Cardiovascular Disease Mortality: A Joint Latent Class Mixed Models

Linear Discriminant Regularized Regression

Tracy-Widom Law of Ridge-Regularized F-Matrix and Applications

Gradient Synchronization for Multivariate Functional Data, with Application to Brain Connectivity

High-Dimensional Latent Semiparametric Mixture Model for Clustering Large Non-Gaussian Data

On the Target-Kernel Alignment: A Unified Analysis with Kernel Complexity

Smooth Tests for the Equality of Conditional Distributions

Reliable Multivariate Deep Regression using Moment-Matching Prior Networks

Inference of Heterogeneous Effects in Single-Cell Genetic Perturbation Screens

Estimation of Production Frontiers Based on Additive Models to Enhanced Robustness against Outliers: A Relaxed Support Vector Regression Approach

Accommodating Space Heterogeneity in Geographically Weighted Regression with Group Penalty

A Conditional Distribution Function-Based Measure for Independence and K-Sample Test in Multivariate Data

Copula-Based Nonparametric Estimation of Hellinger Correlation and Distance

Bayesian Optimization via Exact Penalty

Optimal Model Average Prediction Based on Semi Parametric Mixed Effects Model 基于半参数混合效应模型的最优模型平均预测

Auxiliary Learning and its Statistical Understanding

A Multi-Feature Fusion Deep Learning Prediction Method for Production of Tight Gas Reservoirs

An Analysis of Switchback Designs in Reinforcement Learning

Unlocking the Power of AI: Deep Learning of Volatility is Indispensable