Papers
Found 136 papers
Sorted by: Newest FirstTesting and Support Recovery in Population-Based Image Data
Lianqiang Qu, Jian Huang, Liuquan Sun 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.
Estimating Racial Disparities When Race is Not Observed
Cory McCartan, Robin Fisher, Jacob Goldin 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
Higher-order accurate two-sample network inference and network hashing
Meijia Shao, Dong Xia, 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
Checking the Cox Proportional Hazards Model with Interval-Censored Data
Yangjianchen Xu, Donglin Zeng, D. Y. Lin
Adaptive Selection for False Discovery Rate Control Leveraging Symmetry
Kehan Wang, Yuexin Chen, Yixin Han et al.
Debiasing Watermarks for Large Language Models via Maximal Coupling
Yangxinyu Xie, Xiang Li, Tanwi Mallick 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
Yifei Sun, Sy Han Chiou, Chiung-Yu Huang
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.
Nonparametric Test for Rough Volatility
Carsten H. Chong, Viktor Todorov
Estimating Heterogeneous Causal Mediation Effects with Bayesian Decision Tree Ensembles
Angela Ting, Antonio R. Linero
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Eli Ben-Michael, D. James Greiner, Kosuke Imai et al.
Statistical Prediction and Machine Learning
Michal Pešta
Inference in Generalized Linear Models with Robustness to Misspecified Variances
Riccardo De Santis, Jelle J. Goeman, Jesse Hemerik et al.
Unified Optimal Model Averaging with a General Loss Function based on Cross-Validation
Dalei Yu, Xinyu Zhang, Hua Liang
A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data
Mario Beraha, Stefano Favaro, Matteo Sesia
Communication-Efficient Distributed Estimation and Inference for Cox’s Model
Pierre Bayle, Jianqing Fan, Zhipeng Lou
Testing Elliptical Models in High Dimensions
Siyao Wang, Miles E. Lopes
A practical interval estimation method for spectral density function
Haihan Yu, Mark S. Kaiser, Daniel J. Nordman
Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment
Siyu Heng, Jiawei Zhang, Yang Feng
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.
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
A Latent Variable Model for Individual Degree Measures in Respondent-Driven Sampling
Yibo Wang, Sunghee Lee, Michael R. Elliott
Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks
Daniele Durante, Francesco Gaffi, Antonio Lijoi et al.
Conformal Prediction for Network-Assisted Regression
Robert Lunde, Elizaveta Levina, Ji Zhu
Dependent Random Partitions by Shrinking Toward an Anchor
David B. Dahl, Richard L. Warr, Thomas P. Jensen
Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels
Joshua Agterberg, Zachary Lubberts, Jesús Arroyo
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
Jin-Hong Du, Zhenghao Zeng, Edward H. Kennedy et al.
Simultaneous Inference for Generalized Linear Models with Unmeasured Confounders
Jin-Hong Du, Larry Wasserman, Kathryn Roeder
Likelihood Ratio Tests in Random Graph Models with Increasing Dimensions
Ting Yan, Yuanzhang Li, Jinfeng Xu et al.
Asymptotic Behavior of Adversarial Training Estimator underℓ∞-Perturbation
Yiling Xie, Xiaoming Huo
Asymptotic guarantees for Bayesian phylogenetic tree reconstruction
Alisa Kirichenko, Luke J. Kelly, Jere Koskela
Posterior Predictive Design for Phase I Clinical Trials
Chenqi Fu, Shouhao Zhou, J. Jack Lee
Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference
Zhe Chen, Min Haeng Cho, Bo Zhang
Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications
Dongxiao Han, Siming Zheng, Guohao Shen et al.
A Bayesian Criterion for Rerandomization
Zhaoyang Liu, Tingxuan Han, Donald B. Rubin et al.
LAMBDA: A Large Model Based Data Agent
Sun Maojun, Ruijian Han, Binyan Jiang et al.
Distributional Off-Policy Evaluation in Reinforcement Learning
Zhengling Qi, Chenjia Bai, Zhaoran Wang et al.
Identifying the structure of high-dimensional time series via eigen-analysiss
Bo Zhang, Jiti Gao, Guangming Pan et al.
Testing Mutually Exclusive Hypotheses for Multi-Response Regressions
Jiaqi Huang, Wenbiao Zhao, Lixing Zhu
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
Buxin Su, Jiayao Zhang, Natalie Collina et al.
Distributed Tensor Principal Component Analysis with Data Heterogeneity
Elynn Chen, Xi Chen, Wenbo Jing et al.
Hypothesis Testing for a Functional Parameter via Self-Normalization
Yi Zhang, Xiaofeng Shao
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains
Myungjin Kim, Li Wang, Huixia Judy Wang
Higher Order Accurate Symmetric Bootstrap Confidence Intervals in High Dimensional Penalized Regression
Debraj Das, Arindam Chatterjee, S. N. Lahiri
Adjacency Matrix Decomposition Clustering for Human Activity Data
Martha Barnard, Yingling Fan, Julian Wolfson
Tail calibration of probabilistic forecasts
Sam Allen, Jonathan Koh, Johan Segers et al.
Sparse Bayesian Multidimensional Item Response Theory
Jiguang Li, Robert Gibbons, Veronika Ročková
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
Data Fusion Using Weakly Aligned Sources
Sijia Li, Peter B. Gilbert, Rui Duan et al.
Statistical Inference for High-Dimensional Spectral Density Matrix
Jinyuan Chang, Qing Jiang, Tucker McElroy 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.
Dynamic Regression of Longitudinal Trajectory Features
Huijuan Ma, Wei Zhao, John Hanfelt et al.
Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects
Satarupa Bhattacharjee, Hans-Georg Müller
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
Siyan Liu, Chi-Kuang Yeh, Xin Zhang et al.
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates
Dayu Sun, Zhuowei Sun, Xingqiu Zhao et al.
An Economical Approach to Design Posterior Analyses
Luke Hagar, Nathaniel T. Stevens
Multi-Dimensional Domain Generalization with Low-Rank Structures
Sai Li, Linjun Zhang
Statistical Inference for High-Dimensional Convoluted Rank Regression
Leheng Cai, Xu Guo, Heng Lian et al.
Class-Specific Joint Feature Screening in Ultrahigh-Dimensional Mixture Regression
Kaili Jing, Abbas Khalili, Chen Xu
Robustifying Likelihoods by Optimistically Re-weighting Data
Miheer Dewaskar, Christopher Tosh, Jeremias Knoblauch 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.
Efficient Estimation for Longitudinal Networks via Adaptive Merging
Haoran Zhang, Junhui Wang
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.
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, Fan Wang, Fang Yao
Phase-Type Distributions for Sieve Estimation
Hu Xiangbin, Yudong Wang, Zhisheng Ye et al.
Deep Regression for Repeated Measurements
Shunxing Yan, Fang Yao, Hang Zhou
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART
Jacob R. Englert, Stefanie T. Ebelt, Howard H. Chang
High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process
Alexis Boulin, Elena Di Bernardino, Thomas Laloë et al.
High-Dimensional Expected Shortfall Regression
Shushu Zhang, Xuming He, Kean Ming Tan et al.
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Larry Han, Jue Hou, Kelly Cho 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, Dong Xia, Yuan Zhang
A Novel Approach of High Dimensional Linear Hypothesis Testing Problem
Zhe Zhang, Xiufan Yu, Runze Li
Identifying Genetic Variants for Brain Connectivity Using Ball Covariance Ranking and Aggregation
Wei Dai, Heping Zhang
Discovering the Network Granger Causality in Large Vector Autoregressive Models
Yoshimasa Uematsu, Takashi Yamagata
An Adaptive Adjustment to the R₂ Statistic in High-Dimensional Elliptical Models
Shizhe Hong, Weiming Li, Qiang Liu et al.
Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State
Yu Gu, Donglin Zeng, D. Y. Lin
Inferences in Multinomial Dynamic Mixed Logit Models
Alwell Oyet, Brajendra C. Sutradhar, R. Prabhakar Rao
High-Dimensional Knockoffs Inference for Time Series Data
Chien-Ming Chi, Yingying Fan, Ching-Kang Ing et al.
Adaptive Testing for High-Dimensional Data
Yangfan Zhang, Runmin Wang, Xiaofeng Shao
Robust Bayesian Modeling of Counts with Zero Inflation and Outliers: Theoretical Robustness and Efficient Computation
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
Robust Inference for Federated Meta-Learning
Zijian Guo, Xiudi Li, Larry Han et al.
Comparison of Longitudinal Trajectories Using a High-Dimensional Partial Linear Semiparametric Mixed-Effects Model
Sami Leon, Tong Tong Wu
Random effects model-based sufficient dimension reduction for independent clustered data
Linh H. Nghiem, Francis K.C. Hui
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces
Zhanfeng Wang, Rui Pan, Xueqin Wang et al.
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
Myeonghun Yu, Yue Wang, Siyu Xie 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
Modeling Preferences: A Bayesian Mixture of Finite Mixtures for Rankings and Ratings
Michael Pearce, Elena A. Erosheva
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
Deconvolution Density Estimation with Penalized MLE
Yun Cai, Hong Gu, Toby Kenney
Modeling Hypergraphs with Diversity and Heterogeneous Popularity
Xianshi Yu, Ji Zhu
Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
Xinmeng Huang, Kan Xu, Donghwan Lee et al.
When Composite Likelihood meets Stochastic Approximation
Giuseppe Alfonzetti, Ruggero Bellio, Yunxiao Chen et al.
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination
Peng Wu, Shanshan Luo, Zhi Geng
Bayesian Clustering via Fusing of Localized Densities
Alexander Dombowsky, David B. Dunson
When Frictions Are Fractional: Rough Noise in High-Frequency Data
Carsten H. Chong, Thomas Delerue, Guoying Li
Simulation-Based, Finite-Sample Inference for Privatized Data
Jordan Awan, Zhanyu Wang
Geometric Ergodicity of Trans-Dimensional Markov Chain Monte Carlo Algorithms
Qian Qin
Partial Quantile Tensor Regression
Dayu Sun, Limin Peng, Zhiping Qiu et al.
Local Signal Detection on Irregular Domains with Generalized Varying Coefficient Models
Chengzhu Zhang, Lan Xue, Yu Chen et al.
Two Sample Test for Covariance Matrices in Ultra-High Dimension
Xiucai Ding, Yichen Hu, Zhenggang Wang
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
On the Modeling and Prediction of High-Dimensional Functional Time Series
Jinyuan Chang, Qin Fang, 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
Jungjun Choi, Ming Yuan