Found 187 papers
Sorted by: Newest FirstNonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data
Félix Camirand Lemyre, Raymond J. Carroll, Aurore Delaigle
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization
Jiancong Xiao, Ziniu Li, Xingyu Xie et al.
Transfer learning under large-scale low-rank regression models
Seyoung Park, Eun Ryung Lee, Hongyu Zhao et al.
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
Zhanrui Cai, Xintao Xia, Linjun Zhang
Construction of Asymmetric Nested Orthogonal Arrays
Shanqi Pang, Xiao Lin, Mingyao Ai et al.
SMART-MC: Characterizing the Dynamics of Multiple Sclerosis Therapy Transitions Using a Covariate-Based Markov Model
Beomchang Kim, Zongqi Xia, Priyam Das
Dynamic Decision Making With Individualized Variable Selection
Bryan Cai, Ying Cui, Haoda Fu et al.
Developing A Practical Measure: An Asymmetric Mean Squared Prediction Error for Small Area Estimation
Haiqiang Ma, Thuan Nguyen, Jiming Jiang
Efficiency of QMLE for dynamic panel data models with interactive effects
Jushan Bai
A New Approach for Homogeneity Pursuit in Short Panel Data Analysis
Yang Han, Wenyang Zhang, Weichi Wu
Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference
Zhiling Gu, Shan Yu, Guannan Wang et al.
Universally Optimal Designs for Symmetric Models in Order-of-Addition Experiments
Ze Liu, Yongdao Zhou, Min-Qian Liu
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine*
Canyi Chen, Nan Qiao, Liping Zhu
Simultaneous inference for monotone and smoothly time-varying functions under complex temporal dynamics
Tianpai Luo, Weichi Wu
Chain-linked Multiple Matrix Integration via Embedding Alignment
Runbing Zheng, Minh Tang
Balanced Sampling With Inequalities: Application to Category Bounding, Matrix Rounding, and Spread Sampling
Yves Tillé, Arnaud Tripet
Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning
Piyali Basak, Camille Maringe, F. Javier Rubio et al.
Word-Level Maximum Mean Discrepancy Regularization for Word Embedding
Youqian Gao, Ben Dai
Data thinning for Poisson factor models and its applications
Zhijing Wang, Peirong Xu, Hongyu Zhao et al.
Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities
Jian Cao, Matthias Katzfuss
Causality-oriented robustness: exploiting general noise interventions in linear structural causal models
Peter Bühlmann, Xinwei Shen, Armeen Taeb
Confidence Sets for Causal Orderings
Y. Samuel Wang, Mladen Kolar, Mathias Drton
A Bayesian nonparametric approach to mediation and spillover effects with multiple mediators in cluster-randomized trials
Yuki Ohnishi, Fan Li
On the poor statistical properties of theP-curve meta-analytic procedure
Richard D. Morey, Clintin P. Davis-Stober
Inference for Dispersion and Curvature of Random Objects
Hans-Georg Müller, Wookyeong Song
Integrative Analysis of Microbial 16S Gene and Shotgun Metagenomic Sequencing Data Improves Statistical Efficiency in Testing Differential Abundance
Ye Yue, Yicong Mao, Timothy D. Read et al.
The Effect of Alcohol intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data
Shuo Chen, Chixiang Chen, Zhenyao Ye et al.
Optimal Transport based Cross-Domain Integration for Heterogeneous Data
Annie Qu, Babak Shahbaba, Yubai Yuan et al.
Using Total Margin of Error to Account for Non-Sampling Error in Election Polls
Jeff Dominitz, Charles F. Manski
Inference on the proportion of variance explained in principal component analysis
Ronan Perry, Snigdha Panigrahi, Jacob Bien et al.
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence
Yan Chen, Hongmei Lin, Xueqin Wang et al.
Debiased calibration estimation using generalized entropy in survey sampling
Yonghyun Kwon, Jae Kwang Kim, Yumou Qiu
Inference for Low-rank Models without Estimating the Rank
Jungjun Choi, Hyukjun Kwon, Yuan Liao
Kernel Spectral Joint Embeddings for High-Dimensional Noisy Datasets using Duo-Landmark Integral Operators
Xiucai Ding, Rong Ma
A powerful transformation of quantitative responses for biobank-scale association studies
Yaowu Liu, Tianying Wang
Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
Andrea Montanari, Yuchen Wu
Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference
Shuting Shen, Junwei Lu, Xihong Lin
Online Policy Learning and Inference by Matrix Completion
Dong Xia, Jingyang Li, Congyuan Duan
Improved bounds and inference on optimal regimes
Julien D. Laurendeau, Aaron L. Sarvet, Mats J. Stensrud
Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels
Joshua Agterberg, Zachary Lubberts, Jesús Arroyo
Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization
Xuran Meng, Yuan Cao, Weichen Wang
Fast Approximation of Shapley Values through Fractional Factorial Designs
Zheng Zhou, Robert Mee, Herbert Hamers et al.
A Goodness-of-Fit Assessment for General Learning Procedures in High Dimensions*
Chenxuan He, Canyi Chen, Liping Zhu
Identifying the Structure of High-Dimensional Time Series via Eigen-Analysis
Bo Zhang, Jiti Gao, Guangming Pan et al.
Evaluation of binary classifiers for asymptotically dependent and independent extremes
Juliette Legrand, Philippe Naveau, Marco Oesting
SOFARI: High-Dimensional Manifold-Based Inference
Zemin Zheng, Xin Zhou, Yingying Fan et al.
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma
Kevin Li, Simon Mak, J.-F. Paquet et al.
Asymptotic Guarantees for Bayesian Phylogenetic Tree Reconstruction
Alisa Kirichenko, Luke J. Kelly, Jere Koskela
Conformal Prediction for Network-Assisted Regression
Robert Lunde, Elizaveta Levina, Ji Zhu
Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks
Francesco Gaffi, Daniele Durante, Antonio Lijoi et al.
Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications
Jian Huang, Dongxiao Han, Siming Zheng et al.
Higher Order Accurate Symmetric Bootstrap Confidence Intervals in High Dimensional Penalized Regression
Debraj Das, Arindam Chatterjee, S. N. Lahiri
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
Jianqing Fan, Yuling Yan, Buxin Su et al.
LAMBDA: A Large Model Based Data Agent
Binyan Jiang, Ruijian Han, Sun Maojun et al.
Adjacency Matrix Decomposition Clustering for Human Activity Data
Martha Barnard, Yingling Fan, Julian Wolfson
Design and analysis of randomized trials to estimate spatio-temporally heterogeneous treatment effects
Samuel I. Watson, Thomas A. Smith
A Latent Variable Model for Individual Degree Measures in Respondent-Driven Sampling
Yibo Wang, Sunghee Lee, Michael R. Elliott
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference
Bo Zhang, Zhe Chen, Min Haeng Cho
Estimating Racial Disparities When Race is Not Observed
Cory McCartan, Robin Fisher, Jacob Goldin et al.
Testing and Support Recovery in Population-Based Image Data
Jian Huang, Liuquan Sun, Lianqiang Qu et al.
Long-term effect estimation when combining clinical trial and observational follow-up datasets
Gang Cheng, Yen-Chi Chen, Joseph M. Unger et al.
Statistical Quantile Learning for Large Additive Latent Variable Models
Julien Bodelet, Guillaume Blanc, Jiajun Shan et al.
Adaptation Using Spatially Distributed Gaussian Processes
Botond Szabo, Amine Hadji, Aad van der Vaart
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed.
Xing Liu
Network Goodness-of-Fit for the Block-Model Family
Jiashun Jin, Zheng Tracy Ke, Jiajun Tang et al.
Design-Based Uncertainty for Quasi-Experiments*
Ashesh Rambachan, Jonathan Roth
Checking the Cox Proportional Hazards Model with Interval-Censored Data
Yangjianchen Xu, Donglin Zeng, D. Y. Lin
Higher-order accurate two-sample network inference and network hashing
Dong Xia, Meijia Shao, Yuan Zhang et al.
Bayesian Random-Effects Meta-Analysis Integrating Individual Participant Data and Aggregate Data
Yunxiang Huang, Hang J. Kim, Chiung-Yu Huang et al.
A Unified Framework for Residual Diagnostics in Generalized Linear Models and Beyond
Dungang Liu, Zewei Lin, Heping Zhang
High-dimensional covariance regression with application to co-expression QTL detection
Rakheon Kim, Jingfei Zhang
Kernel density estimation with polyspherical data and its applications
Eduardo García-Portugués, Andrea Meilán-Vila
Adaptive Selection for False Discovery Rate Control Leveraging Symmetry
Linglong Kong, Yuexin Chen, Kehan Wang et al.
Analyzing Whale Calling through Hawkes Process Modeling
Bokgyeong Kang, Erin M. Schliep, Alan E. Gelfand et al.
Bayesian Inference on Brain-Computer Interfaces via GLASS
Bangyao Zhao, Jane E. Huggins, Jian Kang
Aggregated Projection Method: A New Approach for Group Factor Model
Jiaqi Hu, Ting Li, Xueqin Wang
Global and Episode-Specific Prediction of Recurrent Events Using Longitudinal Health Informatics Data
Chiung-Yu Huang, Yifei Sun, Sy Han Chiou
Debiasing Watermarks for Large Language Models via Maximal Coupling
Weijie Su, Yangxinyu Xie, Xiang Li et al.
Data-Driven Tuning Parameter Selection for High-Dimensional Vector Autoregressions
Anders B. Kock, Rasmus S. Pedersen, Jesper R.-V. Sørensen
Who Are We Missing?: A Principled Approach to Characterizing the Underrepresented Population
Harsh Parikh, Rachael K. Ross, Elizabeth Stuart et al.
A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data
Mario Beraha, Stefano Favaro, Matteo Sesia
Unified Optimal Model Averaging with a General Loss Function based on Cross-Validation
Dalei Yu, Xinyu Zhang, Hua Liang
Inference in Generalized Linear Models with Robustness to Misspecified Variances
Riccardo De Santis, Jelle J. Goeman, Jesse Hemerik et al.
Statistical Prediction and Machine Learning
Michal Pešta
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Kosuke Imai, Eli Ben-Michael, D. James Greiner et al.
Estimating Heterogeneous Causal Mediation Effects with Bayesian Decision Tree Ensembles
Angela Ting, Antonio R. Linero
Nonparametric Test for Rough Volatility
Carsten H. Chong, Viktor Todorov
Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment
Siyu Heng, Yang Feng, Jiawei Zhang
Testing Elliptical Models in High Dimensions
Siyao Wang, Miles E. Lopes
Communication-Efficient Distributed Estimation and Inference for Cox’s Model
Jianqing Fan, Pierre Bayle, Zhipeng Lou
A practical interval estimation method for spectral density function
Haihan Yu, Mark S. Kaiser, Daniel J. Nordman
Modelling tree survival for investigating climate change effects
Nicole Augustin, Axel Albrecht, Karim Anaya-Izquierdo et al.
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
Jieru Shi, Zhenke Wu, Walter Dempsey
Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips
František Bartoš, Alexandra Sarafoglou, Henrik R. Godmann et al.
Dependent Random Partitions by Shrinking Toward an Anchor
David B. Dahl, Richard L. Warr, Thomas P. Jensen
Simultaneous Inference for Generalized Linear Models with Unmeasured Confounders
Jin-Hong Du, Kathryn Roeder, Larry Wasserman
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
Larry Wasserman, Jin-Hong Du, Zhenghao Zeng et al.
Likelihood Ratio Tests in Random Graph Models with Increasing Dimensions
Ting Yan, Ji Zhu, Yuanzhang Li et al.
Asymptotic Behavior of Adversarial Training Estimator underℓ∞-Perturbation
Yiling Xie, Xiaoming Huo
Posterior Predictive Design for Phase I Clinical Trials
Chenqi Fu, Shouhao Zhou, J. Jack Lee
Distributional Off-Policy Evaluation in Reinforcement Learning
Zhengling Qi, Chenjia Bai, Zhaoran Wang et al.
A Bayesian Criterion for Rerandomization
Zhaoyang Liu, Tingxuan Han, Donald B. Rubin et al.
Testing Mutually Exclusive Hypotheses for Multi-Response Regressions
Jiaqi Huang, Wenbiao Zhao, Lixing Zhu
Distributed Tensor Principal Component Analysis with Data Heterogeneity
Xi Chen, Elynn Chen, Wenbo Jing et al.
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains
Myungjin Kim, Li Wang, Huixia Judy Wang
Hypothesis Testing for a Functional Parameter via Self-Normalization
Yi Zhang, Xiaofeng Shao
Sparse Bayesian Multidimensional Item Response Theory
Jiguang Li, Robert Gibbons, Veronika Ročková
Tail calibration of probabilistic forecasts
Sam Allen, Jonathan Koh, Johan Segers et al.
Prediction of Cognitive Function via Brain Region Volumes with Applications to Alzheimer’s Disease Based on Space-Factor-Guided Functional Principal Component Analysis
Shoudao Wen, Yi Li, Dehan Kong et al.
Communication-Efficient Distributed Sparse Learning with Oracle Property and Geometric Convergence
Weidong Liu, Xiaojun Mao, Jiyuan Tu
Statistical Inference for High-Dimensional Spectral Density Matrix
Jinyuan Chang, Xiaofeng Shao, Qing Jiang et al.
Data Fusion Using Weakly Aligned Sources
Sijia Li, Peter B. Gilbert, Rui Duan et al.
Dynamic Regression of Longitudinal Trajectory Features
Huijuan Ma, Wei Zhao, John Hanfelt et al.
Frequency Domain Statistical Inference for High-Dimensional Time Series
Jonas Krampe, Efstathios Paparoditis
Cutting Feedback in Misspecified Copula Models
Michael Stanley Smith, Weichang Yu, David J. Nott et al.
Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects
Hans-Georg Müller, Satarupa Bhattacharjee
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
Siyan Liu, Chi-Kuang Yeh, Xin Zhang et al.
An Economical Approach to Design Posterior Analyses
Luke Hagar, Nathaniel T. Stevens
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates
Dayu Sun, Zhuowei Sun, Xingqiu Zhao et al.
Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete Data
Zhongyuan Lyu, Ling Chen, Yuqi Gu
A new approach to optimal design under model uncertainty motivated by multi-armed bandits
Mingyao Ai, Holger Dette, Zhengfu Liu et al.
Robustifying Likelihoods by Optimistically Re-weighting Data
Miheer Dewaskar, Christopher Tosh, Jeremias Knoblauch et al.
Class-Specific Joint Feature Screening in Ultrahigh-Dimensional Mixture Regression
Kaili Jing, Abbas Khalili, Chen Xu
Network Varying Coefficient Model
Xinyan Fan, Kuangnan Fang, Chih-Ling Tsai et al.
Statistical Inference for High-Dimensional Convoluted Rank Regression
Liping Zhu, Leheng Cai, Xu Guo et al.
Multi-Dimensional Domain Generalization with Low-Rank Structures
Sai Li, Linjun Zhang
Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity
Rahul Ghosal, Sujit K. Ghosh, Jennifer A. Schrack et al.
Efficient Estimation for Longitudinal Networks via Adaptive Merging
Haoran Zhang, Junhui Wang
Deep Regression for Repeated Measurements
Fang Yao, Hang Zhou, Shunxing Yan
Phase-Type Distributions for Sieve Estimation
Xingqiu Zhao, Hu Xiangbin, Yudong Wang et al.
Estimation of Over-Parameterized Models from an Auto-Modeling Perspective
Yiran Jiang, Chuanhai Liu
Fast Signal Region Detection With Application to Whole Genome Association Studies
Wei Zhang, Fang Yao, Fan Wang
High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process
Alexis Boulin, Elena Di Bernardino, Thomas Laloë et al.
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART
Jacob R. Englert, Stefanie T. Ebelt, Howard H. Chang
High-Dimensional Expected Shortfall Regression
Shushu Zhang, Kean Ming Tan, Wen-Xin Zhou et al.
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Jue Hou, Tianxi Cai, Rui Duan et al.
Hub Detection in Gaussian Graphical Models
José Á. Sánchez Gómez, Weibin Mo, Junlong Zhao et al.
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off
Meijia Shao, Yuan Zhang, Dong Xia
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem
Zhe Zhang, Xiufan Yu, Runze Li
High-Dimensional Knockoffs Inference for Time Series Data
Yingying Fan, Jinchi Lv, Chien-Ming Chi et al.
Inferences in Multinomial Dynamic Mixed Logit Models
Alwell Oyet, Brajendra C. Sutradhar, R. Prabhakar Rao
Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State
Donglin Zeng, D. Y. Lin, Yu Gu
An Adaptive Adjustment to theR2Statistic in High-Dimensional Elliptical Models
Shizhe Hong, Weiming Li, Qiang Liu et al.
Discovering the Network Granger Causality in Large Vector Autoregressive Models
Yoshimasa Uematsu, Takashi Yamagata
Identifying Genetic Variants for Brain Connectivity Using Ball Covariance Ranking and Aggregation
Heping Zhang, Wei Dai
Random effects model-based sufficient dimension reduction for independent clustered data
Linh H. Nghiem, Francis K.C. Hui
Comparison of Longitudinal Trajectories Using a High-Dimensional Partial Linear Semiparametric Mixed-Effects Model
Sami Leon, Tong Tong Wu
Robust Inference for Federated Meta-Learning
Larry Han, Tianxi Cai, Zijian Guo et al.
Robust Bayesian Modeling of Counts with Zero Inflation and Outliers: Theoretical Robustness and Efficient Computation
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
Adaptive Testing for High-Dimensional Data
Xiaofeng Shao, Yangfan Zhang, Runmin Wang
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces
Xueqin Wang, Zhanfeng Wang, Rui Pan et al.
Large Precision Matrix Estimation with Unknown Group Structure
Cong Cheng, Yuan Ke, Wenyang Zhang
Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies
Dongxiao Wu, Xinran Li
A Bias-Accuracy-Privacy Trilemma for Statistical Estimation
Gautam Kamath, Argyris Mouzakis, Matthew Regehr et al.
Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS
Kean Ming Tan, Wen-Xin Zhou, Myeonghun Yu et al.
Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study
Mingyue Du, Yichen Lou, Jianguo Sun
Modeling Preferences: A Bayesian Mixture of Finite Mixtures for Rankings and Ratings
Michael Pearce, Elena A. Erosheva
Deconvolution Density Estimation with Penalized MLE
Yun Cai, Hong Gu, Toby Kenney
Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
Edgar Dobriban, Xinmeng Huang, Kan Xu et al.
Modeling Hypergraphs with Diversity and Heterogeneous Popularity
Ji Zhu, Xianshi Yu
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination
Peng Wu, Shanshan Luo, Zhi Geng
When Composite Likelihood meets Stochastic Approximation
Giuseppe Alfonzetti, Ruggero Bellio, Yunxiao Chen et al.
Simulation-Based, Finite-Sample Inference for Privatized Data
Jordan Awan, Zhanyu Wang
When Frictions Are Fractional: Rough Noise in High-Frequency Data
Carsten H. Chong, Thomas Delerue, Guoying Li
Bayesian Clustering via Fusing of Localized Densities
Alexander Dombowsky, David B. Dunson
Geometric Ergodicity of Trans-Dimensional Markov Chain Monte Carlo Algorithms
Qian Qin
Partial Quantile Tensor Regression
Limin Peng, Dayu Sun, Zhiping Qiu et al.
Local Signal Detection on Irregular Domains with Generalized Varying Coefficient Models
Annie Qu, Heng Lian, Chengzhu Zhang et al.
Coefficient Shape Alignment in Multiple Functional Linear Regression
Shuhao Jiao, Ngai-Hang Chan
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations
Chanwoo Lee, Miaoyan Wang
Two Sample Test for Covariance Matrices in Ultra-High Dimension
Xiucai Ding, Yichen Hu, Zhenggang Wang
On the Modeling and Prediction of High-Dimensional Functional Time Series
Jinyuan Chang, Qiwei Yao, Xinghao Qiao et al.
Matrix GARCH Model: Inference and Application
Cheng Yu, Dong Li, Feiyu Jiang et al.
Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models
Ming Yuan, Jungjun Choi