Physics-informed learning and uncertainty quantification

Physics-informed learning and uncertainty quantification

Causal Inference : History, Contributions, and Future

Causal Inference : History, Contributions, and Future

Robust Consensus Learning with Multi-Institutional EHR Data: Opportunities and Challenges

Robust Consensus Learning with Multi-Institutional EHR Data: Opportunities and Challenges

Causal Inference with Negative Controls when many negative control exposures exist

Causal Inference with Negative Controls when many negative control exposures exist

TBD

TBD

TBD

Policy learning with pseudo-type classification

Policy learning with pseudo-type classification

A generalized tetrad constraint for testing conditional independence given a latent variable

Causal inference for dyadic data with interference

When can weak latent factors be statistically inferred?

When can weak latent factors be statistically inferred?

TBD

TBD

A new spectral approach to dynamic network analysis

A new spectral approach to dynamic network analysis

Optimal Experimental Design for Neighborhood-Based Network Regression

Optimal Experimental Design for Neighborhood-Based Network Regression

Continuous Normalizing Flow for Learning Probability Distributions

Continuous Normalizing Flow for Learning Probability Distributions

TBD

TBD

To Intrinsic Dimension and Beyond: Efficient Sampling in Diffusion Models

To Intrinsic Dimension and Beyond: Efficient Sampling in Diffusion Models

A Generative Embedding Approach for Hypergraphs

A Generative Embedding Approach for Hypergraphs

Full-conformal novelty detection: A powerful and non-random approach

Full-conformal novelty detection: A powerful and non-random approach

Structured E-Value Filter for Set-Wise Inference, with Applications to Brain Imaging Studies

Structured E-Value Filter for Set-Wise Inference, with Applications to Brain Imaging Studies

TBD

TBD

Optimal Model Selection for Conformalized Robust Optimization

Conditional robust optimization with conformal uncertainty sets

TBD

TBD

Efficient Multilevel Joint Modeling: Integrating Longitudinal and Survival Data with Auxiliary Poisson Approach

Efficient Multilevel Joint Modeling: Integrating Longitudinal and Survival Data with Auxiliary Poisson Approach

Information Transfer Enhancing the Functional Regression

Information Transfer Enhancing the Functional Regression

Quantile regression for censored data with a cure fraction

Quantile regression for censored data with a cure fraction

TBD

TBD

Parameter-transfer in spatial autoregressive models via model averaging

Parameter-transfer in spatial autoregressive models via model averaging

TBD

TBD

Model-free feature screening for ultrahigh-dimensional classification data

Model-free feature screening for ultrahigh-dimensional classification data

Statistical Approaches to MLP Approximation in Efficient Language Models

Statistical Approaches to MLP Approximation in Efficient Language Models

Advancing Responsible Statistical and AI/ML Methods for Complex Electronic Health Records

Advancing Responsible Statistical and AI/ML Methods for Complex Electronic Health Records

Generalized Median of Means Principle for Bayesian Inference

Generalized Median of Means Principle for Bayesian Inference

Deep conditional distribution learning via conditional Föllmer flow

Deep conditional distribution learning via conditional Föllmer flow

Ranking Inference for Human Feedback Tuning in Large Language Models

Ranking Inference for Human Feedback Tuning in Large Language Models

Residual permutation test for regression coefficient testing

Residual permutation test for regression coefficient testing

Mixture Survival Trees for Subgroup Discovery

Mixture Survival Trees for Subgroup Discovery

Auxiliary Variable-Assisted Regularized Estimation: Semi-Supervised Modeling with Multi-Wave Sampling

Auxiliary Variable-Assisted Regularized Estimation: Semi-Supervised Modeling with Multi-Wave Sampling

Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations

Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations

Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels

Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels

Two-way latent matching model for network analysis

Two-way latent matching model for network analysis

A dynamic network autoregressive model for time-varying network-link data

A dynamic network autoregressive model for time-varying network-link data

A Semiparametric Regression Model for Spatiotemporal Processes with Nonseparable Covariance Structures

A Semiparametric Regression Model for Spatiotemporal Processes with Nonseparable Covariance Structures

Minimax optimal High-dimensional One-Step t-estimation (HOST) in robust tensor regression

Change point detection for tensor data with low-rank and sparse structure

Statistical Generative Models for Unstructured Image Data

Statistical Generative Models for Unstructured Image Data

D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data

D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data

Doubly robust alignment for large language models

Doubly robust alignment for large language models

Learning guarantee of reward modeling using deep neural networks

Learning guarantee of reward modeling using deep neural networks

Model Free Prediction with Uncertainty Assessment

Model Free Prediction with Uncertainty Assessment

Wasserstein Distributionally Robust Nonparametric Regression

Wasserstein Distributionally Robust Nonparametric Regression

Rates for least squares using over-parameterized neural networks

Rates for least squares using over-parameterized neural networks

Support vector machines with probabilistic linguistic information

Support vector machines with probabilistic linguistic information

Clustering Analysis of Text Interval Functional Data Based on the BERT Model: A Case Study of Live Stream Chat Messages

Clustering Analysis of Text Interval Functional Data Based on the BERT Model: A Case Study of Live Stream Chat Messages

Research on Group Consensus Evaluation Model Considering Non-cooperative Behavior in Dynamic Social Network Environments

Research on Group Consensus Evaluation Model Considering Non-cooperative Behavior in Dynamic Social Network Environments

Research on Data Trading Mechanisms Based on Cooperative and Non-Cooperative Game Theory

Attribute preference weight estimation method of commodity evaluation based on online reviews and ratings

Attribute preference weight estimation method of commodity evaluation based on online reviews and ratings

MOSAICA with application to global factor investment

MOSAICA with application to global factor investment

Change surface regression for nonlinear subgroup identification

Change surface regression for nonlinear subgroup identification

TBD

TBD

Denoising Diffused Embeddings: a Generative Approach for Hypergraphs

Denoising Diffused Embeddings: a Generative Approach for Hypergraphs

Non-Euclidean object filtering for large-scale discriminant analysis

Non-Euclidean object filtering for large-scale discriminant analysis

TBD

TBD

Efficient methods for species tree estimation and species delimitation using genomic sequence data

Efficient methods for species tree estimation and species delimitation using genomic sequence data

A Generalized Integration Approach to Tumor Association Analysis

A Generalized Integration Approach to Association Analysis’, focusing on epi side of tumor association analysis

Evidence-based practice for Epi-transcriptomic data harmonization

Evidence-based practice for Epi-transcriptomic data harmonization

Integrative multi-omics analysis elucidates molecular links underlying genetic effects on complex traits

Integrative multi-omics analysis elucidates molecular links underlying genetic effects on complex traits

Learning genetic regulatory networks using directed acyclic graphical models

Learning genetic regulatory networks using directed acyclic graphical models

Local genetic correlation via knockoffs reduces confounding due to cross-trait assortative mating

Local genetic correlation via knockoffs reduces confounding due to cross-trait assortative mating

MultiSTAAR: a powerful multi-trait rare variant analysis framework for biobank sequencing data

MultiSTAAR: a powerful multi-trait rare variant analysis framework for biobank sequencing data

Individualized dynamic latent factor model with application in mobile health data

Individualized dynamic latent factor model with application in mobile health data

Deciphering proteins in Alzheimer’s disease: A new Mendelian randomization method integrated with AlphaFold3 for 3D structure prediction

Deciphering proteins in Alzheimer’s disease: A new Mendelian randomization method integrated with AlphaFold3 for 3D structure prediction

Heritability estimation with similarity representation

Heritability estimation with similarity representation

以效率为导向的模型选择后的共形预测

Conformal prediction after efficiency-oriented model selection

Improve Fairness with Shift-Adjusted Neyman--Pearson Classifiers via Single Index Modeling (SACSI)

Improve Fairness with Shift-Adjusted Neyman--Pearson Classifiers via Single Index Modeling (SACSI)

三维游戏世界里的轨迹数据分析

Statistical analysis of 3D path data in Minecraft

Investigating Causal Effects of Wearable Device Usage in Diabetes Management

Investigating Causal Effects of Wearable Device Usage in Diabetes Management

CTE2: Conditional tail expectation treatment effect at extreme levels

CTE2: Conditional tail expectation treatment effect at extreme levels

Mean-preserving rounding integer-valued ARMA models

Mean-preserving rounding integer-valued ARMA models

基于广义线性模型的大规模插补样本融合研究

基于广义线性模型的大规模插补样本融合研究

基于投影经验过程的渐近分布自由的超高维回归模型检验

基于投影经验过程的渐近分布自由的超高维回归模型检验

基于超均匀性的差分隐私多重假设检验

基于超均匀性的差分隐私多重假设检验

Heterogeneous Quantile Treatment Effect Estimation with High-Dimensional Confounding

Heterogeneous Quantile Treatment Effect Estimation with High-Dimensional Confounding

Generalized quantile regression for recurrent event data with covariate measurement error

Generalized quantile regression for recurrent event data with covariate measurement error

Statistical Inference for High-dimensional Linear Regression Based on Feature Transfer Learning

Statistical Inference for High-dimensional Linear Regression Based on Feature Transfer Learning

Sample Efficient Nonparametric Regression via Low-Rank Regularization

Sample Efficient Nonparametric Regression via Low-Rank Regularization

Mean shift for functional data: a scalable algorithm and convergence analysis

Mean shift for functional data: a scalable algorithm and convergence analysis

Bivariate Analysis of Distribution Functions Under Biased Sampling

Bivariate Analysis of Distribution Functions Under Biased Sampling

Coordinate testing for general sufficient dimension reduction methods

Coordinate testing for general sufficient dimension reduction methods

Graphical modeling of multivariate inhomogeneous spatial point processes

Graphical modeling of multivariate inhomogeneous spatial point processes

Exploring the relationship between the geometry of a fixed embedding of image data and its underlying cluster structure

Exploring the relationship between the geometry of a fixed embedding of image data and its underlying cluster structure

TBD

TBD

A Resampling-based Mendelian Randomization Framework for Robust Proteome-Wide Causal Inference in Alzheimer’s Disease

A Resampling-based Mendelian Randomization Framework for Robust Proteome-Wide Causal Inference in Alzheimer’s Disease

Inference for High Dimensional Predictive Regressions

Inference for High Dimensional Predictive Regressions

Quantifying uncertainty and stability among highly correlated predictors: a subspace perspective

Quantifying uncertainty and stability among highly correlated predictors: a subspace perspective

带协变量缺失的高维线性回归

Nonparametric Sensitivity Analysis for Unobserved Confounding with Survival Outcomes

Nonparametric Sensitivity Analysis for Unobserved Confounding with Survival Outcomes

基于缺失患者报告结局数据的亚组治疗效应检测

Transition and dynamic reconfiguration in late-life depression based on hidden Markov model

Transition and dynamic reconfiguration in late-life depression based on hidden Markov model

Assessing Global Border Controls as Responses to Pandemic Using Real-World Data and Target Trial Emulation

Assessing Global Border Controls as Responses to Pandemic Using Real-World Data and Target Trial Emulation

A Modified Normalized Power Prior Approach for Bayesian Adaptive Borrowing in Item Response Theory Models

A Modified Normalized Power Prior Approach for Bayesian Adaptive Borrowing in Item Response Theory Models

Data-Adaptive Transformation Screening with FDR Control for Structural Sparsity Problems: Applications to Brain MRI Analysis

Data-Adaptive Transformation Screening with FDR Control for Structural Sparsity Problems: Applications to Brain MRI Analysis

Structure Identification and Learning for Ultra-High-Dimensional Generalized Partially Linear Spatially Varying Coefficient Models

Structure Identification and Learning for Ultra-High-Dimensional Generalized Partially Linear Spatially Varying Coefficient Models

Unveiling Genetic Complexity: Fine Mapping with h2-D2 Bayesian Approach in Multi-Ancestry Settings

Unveiling Genetic Complexity: Fine Mapping with h2-D2 Bayesian Approach in Multi-Ancestry Settings

Bayesian empirical likelihood procedure for evaluating racial disproportionality of policing Stop & Search in London

Bayesian empirical likelihood procedure for evaluating racial disproportionality of policing Stop & Search in London

Distributional Regression & Uncertainty Quantification with Deep Learning

Distributional Regression & Uncertainty Quantification with Deep Learning

Uncertainty Learning for Portfolio Optimization on Big Data

Uncertainty Learning for Portfolio Optimization on Big Data

A Risk Model with Stochastic Quadratic Intensity

A Risk Model with Stochastic Quadratic Intensity

Distributionally Robust Optimization against Ambiguity across Two Layers

Distributionally Robust Optimization against Ambiguity across Two Layers

Transfer Learning for Benignly Overfitted Minimum Norm Interpolator

Transfer Learning for Benignly Overfitted Minimum Norm Interpolator

Adaptation and Generalization in High-Dimensional Ising Models Using Transfer Learning

Adaptation and Generalization in High-Dimensional Ising Models Using Transfer Learning

Iterative Nuclear Norm Minimization for Parameter Estimation in High-Dimensional Multiple Response Models

Iterative Nuclear Norm Minimization for Parameter Estimation in High-Dimensional Multiple Response Models

Geodesic Causal Inference

Geodesic Causal Inference

Interpretable Personalized Online Reinforcement Learning with Applications in Business and Healthcare

Interpretable Personalized Online Reinforcement Learning with Applications in Business and Healthcare

Privacy-Preserving Transfer Learning for Community Detection in Multiple Networks

Privacy-Preserving Transfer Learning for Community Detection in Multiple Networks

The synthetic instrument: From sparse association to sparse causation

The synthetic instrument: From sparse association to sparse causation

Approximations for Stationary Distributions of McKean-Vlasov SDEs

Approximations for Stationary Distributions of McKean-Vlasov SDEs

Financial forecasting with voice time series data

Financial forecasting with voice time series data

Approximate Bayesian computation methods for complex data

Approximate Bayesian computation methods for complex data

Generative or Discriminative? Rethinking Image Generation under Complex Conditions

Generative or Discriminative? Rethinking Image Generation under Complex Conditions

Likelihood Matching for Diffusion Models

Likelihood Matching for Diffusion Models

Generalization error bounds of gradient descent for learning a three-layer Vision Transformer

Generalization error bounds of gradient descent for learning a three-layer Vision Transformer

Functional Gradient Flows for Constrained Sampling

Functional Gradient Flows for Constrained Sampling

Variational bagging: a robust approach for Bayesian uncertainty quantification

Variational bagging: a robust approach for Bayesian uncertainty quantification

A causal framework for assessing and achieving fairness

A causal framework for assessing and achieving fairness

Individualized Inference for Causal Fairness through Conformal Mediation Analysis

Individualized Inference for Causal Fairness through Conformal Mediation Analysis

Deep Orthogonal Learner for Conditional Quantile Treatment Effect Estimation

Deep Orthogonal Learner for Conditional Quantile Treatment Effect Estimation

Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding

Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding

Rerandomization for covariate balance mitigates $p$-hacking in regression adjustment

Rerandomization for covariate balance mitigates $p$-hacking in regression adjustment

Chang-Point Detection in Network Vector Autoregressive Models

Chang-Point Detection in Network Vector Autoregressive Models

Matrix Factor Model with Structural Breaks

Matrix Factor Model with Structural Breaks

Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression

Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression

Matrix Time Series Modeling: A Hybrid Framework Combining Autoregression and Common Factors

Matrix Time Series Modeling: A Hybrid Framework Combining Autoregression and Common Factors

Exponentially Tilted Empirical Likelihood Inference for Quantile-GARCH Models

Exponentially Tilted Empirical Likelihood Inference for Quantile-GARCH Models

On smooth transition interval autoregressive models

On smooth transition interval autoregressive models

Time-lagged marginal expected shortfall

Time-lagged marginal expected shortfall

Semiparametric marginal promotion time cure model for clustered survival data

Semiparametric marginal promotion time cure model for clustered survival data

Fast Multinomial Logistic Regression with Group Sparsity

Fast Multinomial Logistic Regression with Group Sparsity

Approximation Error from Discretizations and Its Applications

Approximation Error from Discretizations and Its Applications

Testing For Heterogeneity in Distributed Statistical Learning

Testing For Heterogeneity in Distributed Statistical Learning

OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction

OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction

Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data

Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data

Federated Learning based on Kernel Local Differential Privacy and Low Gradient Sampling

Federated Learning based on Kernel Local Differential Privacy and Low Gradient Sampling

Quantile regression for a decentralized distributed system

Quantile regression for a decentralized distributed system

Matrix-factor-augmented regression

Matrix-factor-augmented regression

Robust matrix auto-regressions and digital finance analysis in Yangtze River Economic Belt

Robust matrix auto-regressions and digital finance analysis in Yangtze River Economic Belt

Anomaly or Risk Factor? A Stepwise Evaluation

Anomaly or Risk Factor? A Stepwise Evaluation

Regime-specific Return Predictability in Quantiles

Regime-specific Return Predictability in Quantiles

Factor-augmented Convolution Smoothed Quantile Regression

Factor-augmented Convolution Smoothed Quantile Regression

Beyond the Surface: Advanced Estimation of Ocean Interior Velocities via Surface Observations

Beyond the Surface: Advanced Estimation of Ocean Interior Velocities via Surface Observations

融合多源信息的TimeGPT-GARCH族金融市场波动率预测模型

融合多源信息的TimeGPT-GARCH族金融市场波动率预测模型

A further review on the optimal fingerprinting approach for climate studies, the case of errors in fingerprints

A further review on the optimal fingerprinting approach for climate studies, the case of errors in fingerprints

Partial Functional Dynamic Structural Equation Model

Partial Functional Dynamic Structural Equation Model

Sparse Boosting for Additive Spatial Autoregressive Model with High Dimensionality

Sparse Boosting for Additive Spatial Autoregressive Model with High Dimensionality

Learning individualized treatment rules for a target population with right-censored survival outcomes

Learning individualized treatment rules for a target population with right-censored survival outcomes

Efficient Risk Assessment of Time-to-Event Targets With Adaptive Information Transfer

Efficient Risk Assessment of Time-to-Event Targets With Adaptive Information Transfer

Semiparametric Bayesian regularized quantile regression to mixed effect model for health insurance data

Semiparametric Bayesian regularized quantile regression to mixed effect model for health insurance data

MM-LSNet: A Multi-Level Multi-Task Framework for Laser Spot Analysis in UWF-OCTA Images

MM-LSNet: A Multi-Level Multi-Task Framework for Laser Spot Analysis in UWF-OCTA Images

Transfer learning for accelerated failure time model with microarray data

Transfer learning for accelerated failure time model with microarray data

Change Point Detection for High-dimensional Functional Time Series

Change Point Detection for High-dimensional Functional Time Series

A Unified Principal Components Analysis for Stationary Functional Time Series

A Unified Principal Components Analysis for Stationary Functional Time Series

Random Fourier Features Based Gaussian Process Models for Stochastic Simulations

Random Fourier Features Based Gaussian Process Models for Stochastic Simulations

Statistical Inference for Community Detection in Dynamic Networks

A Conformalized Empirical Bayes Method for Multiple Testing with Side Information

A Conformalized Empirical Bayes Method for Multiple Testing with Side Information

A Multi-Method Integration Framework for Wind Speed Prediction Using Optimized Deep Neural Networks

A Multi-Method Integration Framework for Wind Speed Prediction Using Optimized Deep Neural Networks

Locally Private Nonparametric Contextual Multi-armed Bandits with Transfer Learning

Locally Private Nonparametric Contextual Multi-armed Bandits with Transfer Learning

Defense Against Syntactic Textual Backdoor Attacks with Token Substitution

Defense Against Syntactic Textual Backdoor Attacks with Token Substitution

e-GAI: e-value-based Generalized α-Investing for Online False Discovery Rate Control

e-GAI: e-value-based Generalized α-Investing for Online False Discovery Rate Control

The Promises of Multiple Experiments: Identifying Joint Distribution of Potential Outcomes

The Promises of Multiple Experiments: Identifying Joint Distribution of Potential Outcomes

Hyperspectral and Multispectral Image fusion with Functional Data Analysis Techniques

Hyperspectral and Multispectral Image fusion with Functional Data Analysis Techniques

Ordering factorial designs with good stratification properties

Ordering factorial designs with good stratification properties

Group SLOPE Penalized Low-Rank Tensor Regression

Group SLOPE Penalized Low-Rank Tensor Regression

Functional Dependence of Network Data: An Approach without Metric Space

Functional Dependence of Network Data: An Approach without Metric Space

Network Assisted Approximate Factor Model Estimation

Network Assisted Approximate Factor Model Estimation

Estimation of a Spatial Autoregressive Model with Endogenous Group Formation

Estimation of a Spatial Autoregressive Model with Endogenous Group Formation

Network Cross-Validation for Nested Models by Edge-Splitting

Network Cross-Validation for Nested Models by Edge-Splitting

Towards an understanding of the principles behind deep learning

Towards an understanding of the principles behind deep learning

Statistics in the Era of Large Models

Statistics in the Era of Large Models

Generative AI for Economic Equilibrium Analyses and Financial Applications

Generative AI for Economic Equilibrium Analyses and Financial Applications

Doubly Robust Sequential Quantile Off-Policy Inference

Doubly Robust Sequential Quantile Off-Policy Inference

Non-greedy Tree-based Learning for Estimating Global Optimal Dynamic Decision Rules With Continuous Treatment Dosage

Non-greedy Tree-based Learning for Estimating Global Optimal Dynamic Decision Rules With Continuous Treatment Dosage

Causal Inference for all: Marginal causal effects for all outcomes truncated by death

Causal Inference for all: Marginal causal effects for all outcomes truncated by death

Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims

Minimax Detection Boundary and Sharp Optimal Test for Gaussian Graphical Model

Minimax Detection Boundary and Sharp Optimal Test for Gaussian Graphical Model

Partial penalized quasi-likelihood with covariance matrix misspecification

Partial penalized quasi-likelihood with covariance matrix misspecification

A Robust Combination Test Based on EDF Statistics for Goodness-of-Fit

A Robust Combination Test Based on EDF Statistics for Goodness-of-Fit

Covariate-Adjusted Generalized Factor Analysis with Application to Testing Fairness

Covariate-Adjusted Generalized Factor Analysis with Application to Testing Fairness

Nonparametric learning of heterogeneous graphical model on network-linked data

Nonparametric learning of heterogeneous graphical model on network-linked data

Pseudo-Likelihood Ratio Screening based on Network Data with Applications

Pseudo-Likelihood Ratio Screening based on Network Data with Applications

BASIC: Bipartite Assisted Spectral-clustering for Identifying Communities in Large-scale Networks

BASIC: Bipartite Assisted Spectral-clustering for Identifying Communities in Large-scale Networks

TBD

TBD

Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective

Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective

A Unified Framework for Large-Scale Classification: Error Rate Control and Optimality

A Unified Framework for Large-Scale Classification: Error Rate Control and Optimality

Robust Reinforcement Learning under Diffusion Models for Data with Jumps

Robust Reinforcement Learning under Diffusion Models for Data with Jumps

Robust Rank Canonical Correlation Analysis for Multivariate Survival Data

Robust Rank Canonical Correlation Analysis for Multivariate Survival Data

Causal mediation analysis with machine learning

Causal mediation analysis with machine learning

Estimation of Multiple Large Precision Matrices and Its Application to High-Dimensional Quadratic Discriminant Analysis

Estimation of Multiple Large Precision Matrices and Its Application to High-Dimensional Quadratic Discriminant Analysis

TBD

TBD

Selection of Mixture Dynamic Quantile Regression Models: Theory and Applications

Selection of Mixture Dynamic Quantile Regression Models: Theory and Applications

基于混频时变DFM实时监测宏观经济状况

Profile GMM estimation of dynamic spatial panels with multidimensional endogeneity and interactive fixed effects

Profile GMM estimation of dynamic spatial panels with multidimensional endogeneity and interactive fixed effects

Bridging Factor and Sparse Models in Time-varying Environments

Bridging Factor and Sparse Models in Time-varying Environments

Learning the Stochastic Discount Factor

Learning the Stochastic Discount Factor

Neural Tangent Kernel in Implied Volatility Forecasting: A Nonlinear Functional Autoregression Approach

Neural Tangent Kernel in Implied Volatility Forecasting: A Nonlinear Functional Autoregression Approach

Let the tables talk!

Let the tables talk!

Learning Volatility Roughness from Options

Learning Volatility Roughness from Options

Exploring the Heterogeneity in Recurrent Episode Lengths Based On Quantile Regression

Exploring the Heterogeneity in Recurrent Episode Lengths Based On Quantile Regression

A Scalable Distribution-Free Test for Detecting Spatially Variable Genes in Large-Scale Spatial Transcriptomics

A Scalable Distribution-Free Test for Detecting Spatially Variable Genes in Large-Scale Spatial Transcriptomics

Imputation-based Q-learning with regression trees for censored survival data

Imputation-based Q-learning with regression trees for censored survival data

Kernel-Profile Efficient Estimation in Generalized Partially Linear Models With Missing Outcomes in Longitudinal Studies

Kernel-Profile Efficient Estimation in Generalized Partially Linear Models With Missing Outcomes in Longitudinal Studies

Sparse sample-specific matrix factor regression for interpretable phenotype prediction in scRNA-seq data

Sparse sample-specific matrix factor regression for interpretable phenotype prediction in scRNA-seq data

电子病历数据分析与大模型

电子病历数据分析与大模型

Pleas fill in your talk title

两异质人群背景下基于迁移学习的孟德尔随机化方法

两异质人群背景下基于迁移学习的孟德尔随机化方法

基于时间尺度指标的动态预测模型

基于时间尺度的动态预测模型——应用到阿尔茨海默病病程进展

Debiased high-dimensional regression calibration for errors-in-variables log-contrast models

Measurement Error Correction in High-Dimensional Log-Contrast Regression

Goodness-of-fit tests in functional-coefficient autoregressive models with measurement error

Goodness-of-fit tests in functional-coefficient autoregressive models with measurement error

A Unified Framework of Analyzing Missing Data and Variable Selection using Regularized Likelihood

A Unified Framework of Analyzing Missing Data and Variable Selection using Regularized Likelihood

A Debiased Approach to Sparse Function-on-Scalar Regression with Covariate Measurement Error

A Debiased Approach to Sparse Function-on-Scalar Regression with Covariate Measurement Error

Theoretical Guarantees for Alternative Least Square Algorithm in Tensor CP Decomposition

Theoretical Guarantees for Alternative Least Square Algorithm in Tensor CP Decomposition

Statistical Inference for Low-Rank Tensor Models

Statistical Inference for Low-Rank Tensor Models

Robust and Optimal Tensor Estimation via Robust Gradient Descent

Robust and Optimal Tensor Estimation via Robust Gradient Descent

Robust Matrix Estimation with Kronecker Product Structures via Scaled Projected Gradient Descent

Robust Matrix Estimation with Kronecker Product Structures via Scaled Projected Gradient Descent

Privacy Introduces Minor Trade-Offs in Fine-Tuning: A Representation Learning Perspective

Privacy Introduces Minor Trade-Offs in Fine-Tuning: A Representation Learning Perspective

Generalizability through the Lens of Distributional Learning

Generalizability through the Lens of Distributional Learning

Multi-source stable variable importance measure via adversarial machine

Multi-source stable variable importance measure via adversarial machine

Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data

Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data

Convergence and Inference of Stream SGD, with Applications to Queueing Systems and Inventory Control

Convergence and Inference of Stream SGD, with Applications to Queueing Systems and Inventory Control

Fourier dimension of the graph of fractional Brownian motion with H>1/2

Fourier dimension of the graph of fractional Brownian motion with H>1/2

Convolution Bounds on Quantile Aggregation

Convolution Bounds on Quantile Aggregation

Maximum Entropy Estimator for Hidden Markov Models

Maximum Entropy Estimator for Hidden Markov Models

脑电数据的自动标记与统计分析

题目暂缺

题目暂缺

混合设计和贝叶斯统计支持监管决策案例分享

Drawing inference from predicted data

Drawing inference from predicted data

Functional principal component analysis with informative observation times

Functional principal component analysis with informative observation times

Bias Correction and its Impact on Inference for Generalized Partially Linear Models

Bias Correction and its Impact on Inference for Generalized Partially Linear Models

Accurate Inference for Penalized Logistic Regression

Accurate Inference for Penalized Logistic Regression

Inference on Potentially Identified Subgroups in Clinical Trials

Inference on Potentially Identified Subgroups in Clinical Trials

A Longitudinal Multi-Domain Latent Structure Model for Domain-specific Disease Progression

A Longitudinal Multi-Domain Latent Structure Model for Domain-specific Disease Progression

Distributed Proportional Likelihood Ratio Model with Application to Data Integration Across Clinical Sites

Distributed Proportional Likelihood Ratio Model with Application to Data Integration Across Clinical Sites

Deep Mutual Density Ratio Estimation with Bregman Divergence and its Applications

Deep Mutual Density Ratio Estimation with Bregman Divergence and its Applications

How Digital Economy Promotes Rural Revitalization: The Road to Transform the County Industrial Structure under Rural E-commerce Policies

How Digital Economy Promotes Rural Revitalization: The Road to Transform the County Industrial Structure under Rural E-commerce Policies

Innovation Propensity and Corporate Performance

How Valuable are Chinese Patents?——An Innovative Measurement Distinguishing Private Value and Social Value

How Valuable are Chinese Patents?——An Innovative Measurement Distinguishing Private Value and Social Value

Real-time Monitoring of Economic Climate Based on High-dimensional Multisource Data

Real-time Monitoring of Economic Climate Based on High-dimensional Multisource Data

Unveiling the Role of Learning-Rate Schedules via Functional Scaling Laws

Understanding Neural Network Training: A Dynamical Stability Perspective

Accelerating Convergence in Bayesian Few-Shot Classification

Accelerating Convergence in Bayesian Few-Shot Classification

TBD

TBD

TBD

TBD

共同富裕促进代际收入流动吗——基于微观家庭数据的经验研究

共同富裕促进代际收入流动吗——基于微观家庭数据的经验研究

AI智能体能否成为智能投顾新助手

AI智能体能否成为智能投顾新助手

数据要素市场化配置对企业新质生产力的影响研究 ——基于A股上市公司的经验证据

数据要素市场化配置对企业新质生产力的影响研究 ——基于A股上市公司的经验证据

具有长记忆性的时变回归模型 (Time-varying Regression with Long Memory)

Time-varying Regression with Long Memory

基于协变量自适应随机化的多重政策分位数处理效应模型及其应用

基于协变量自适应随机化的多重政策分位数处理效应模型及其应用

High-dimensional graphical inference via partially penalised regression

High-dimensional graphical inference via partially penalised regression

Bayesian Grouping-Gibbs Sampling Estimation of High-dimensional Linear Model with Non-sparsity

Bayesian Grouping-Gibbs Sampling Estimation of High-dimensional Linear Model with Non-sparsity

Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates

Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates

Group Sparse $\beta$-Model: Multi-Magnitude Core Node Influence

Group Sparse $\beta$-Model: Multi-Magnitude Core Node Influence

Robust Model Averaging Prediction of Longitudinal Response with Ultrahigh-dimensional Covariates

Robust Model Averaging Prediction of Longitudinal Response with Ultrahigh-dimensional Covariates

中国城市生产网络分析

Net analysis in Chinese city production

经济复杂系统网络统计解析理论方法研究

Research on Theoretical and Methodological Approaches for Statistical Analysis of Economic Complex System Networks

我国物流成本足迹空间网络演化及影响因素分析

The Evolution of China's Logistics Cost Footprint Spatial Network and Analysis of Influencing Factors

我国物流业双循环测度与网络结构研究

Research on the Measurement and Network Structure of China's Logistics Industry in the Context of Dual Circulation

Efficient and accurate additive regression for high-dimensional data

Efficient and accurate additive regression for high-dimensional data

Statistical inference for topological data analysis

Statistical Inference for Topological Data Analysis

Reduced varying coefficients of regional quantile for multiple responses

Reduced varying coefficients of regional quantile for multiple responses

Joint estimation of monotone curves via functional principal component analysis

Joint estimation of monotone curves via functional principal component analysis

Grouped Orthogonal Arrays

Grouped Orthogonal Arrays

混合水平强正交表的构造及其应用

混合水平强正交表的构造及其应用

Multi-resolution subsampling for linear classification with massive data

Multi-resolution subsampling for linear classification with massive data

Theory of J-characteristics of four-level designs under quaternary codes

Theory of J-characteristics of four-level designs under quaternary codes

Deterministic Construction Methods for Uniform Designs

Deterministic Construction Methods for Uniform Designs

A Stratified L_2-Discrepancy with Application to Space-Filling Designs

A Stratified L_2-Discrepancy with Application to Space-Filling Designs

Design of Order-of-Addition Two-Level Factorial Experiments

Design of Order-of-Addition Two-Level Factorial Experiments

Recent works on absolute discrepancy in uniform designs

Recent works on absolute discrepancy in uniform designs

Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton

Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton

Deep batch learning in high-dimensional nonparametric contextual bandits

Deep batch learning in high-dimensional nonparametric contextual bandits

Kernel Ridge Regression with Predicted Feature Inputs and Applications to Factor-Based Nonparametric Regression

Kernel Ridge Regression with Predicted Feature Inputs and Applications to Factor-Based Nonparametric Regression

Random k conditional nearest neighbor for high-dimensional data

Random k conditional nearest neighbor for high-dimensional data

Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model

Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model

Multi-Human-Value Alignment Palette For Safe and Personalized Generative AI

MAP: Multi-Human-Value Alignment Palette for Safe and Personalized Generative AI

Adversarial Learning for Nonparametric Regression: Minimax Rate and Adaptive Estimation

Adversarial Learning for Nonparametric Regression: Minimax Rate and Adaptive Estimation

Greedy Algorithm for High-dimensional Generalized Linear Model Selection under Covariate Shift

Greedy Algorithms for High-Dimensional Generalized Linear UnderCovariate Shift

Subsampling Based Inference for Large Networks

Subsampling Based Inference for Large Networks

数据结合--网络数据指导下的高维特征最优选取方法

数据结合--网络数据指导下的高维特征最优选取方法

UBSea: A unified community detection framework

UBSea: A unified community detection framework

Exact Minimax Optimality of Spectral Methods in Phase Synchronization and Orthogonal Group Synchronization

Exact Minimax Optimality of Spectral Methods in Phase Synchronization and Orthogonal Group Synchronization

Physics-informed Statistical Data Fusion for Reconstructing Current Fields of An Oceanic Eddy

Physics-informed Statistical Data Fusion for Reconstructing Current Fields of An Oceanic Eddy

Semi-supervised multiple testing with weighted false discovery rate control

Semi-supervised multiple testing with weighted false discovery rate control

Enhancing Approximate Co-Sufficient Sampling Techniques

Enhancing Approximate Co-Sufficient Sampling Techniques

A joint modeling framework for graded responses and response times: MMLE via SAEM