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Content
October 2024, Volume 119, Issue 548
- 2427-2436 Statistical Foundations Driving 21st Century Innovation
by Katherine B. Ensor - 2437-2449 An Efficient Coalescent Model for Heterochronously Sampled Molecular Data
by Lorenzo Cappello & Amandine Véber & Julia A. Palacios - 2450-2463 Dissecting Gene Expression Heterogeneity: Generalized Pearson Correlation Squares and the K-Lines Clustering Algorithm
by Jingyi Jessica Li & Heather J. Zhou & Peter J. Bickel & Xin Tong - 2464-2477 Joint Tensor Modeling of Single Cell 3D Genome and Epigenetic Data with Muscle
by Kwangmoon Park & Sündüz Keleş - 2478-2492 Generalizing the Intention-to-Treat Effect of an Active Control from Historical Placebo-Controlled Trials: A Case Study of the Efficacy of Daily Oral TDF/FTC in the HPTN 084 Study
by Qijia He & Fei Gao & Oliver Dukes & Sinead Delany-Moretlwe & Bo Zhang - 2493-2507 Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2
by Yan Song & Zubair Khalid & Marc G. Genton - 2508-2520 Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism
by Zihang Wang & Irina Gaynanova & Aleksandr Aravkin & Benjamin B. Risk - 2521-2532 Statistical Inference of Cell-Type Proportions Estimated from Bulk Expression Data
by Biao Cai & Jingfei Zhang & Hongyu Li & Chang Su & Hongyu Zhao - 2533-2547 Functional Integrative Bayesian Analysis of High-Dimensional Multiplatform Clinicogenomic Data
by Rupam Bhattacharyya & Nicholas C. Henderson & Veerabhadran Baladandayuthapani - 2548-2559 Ultimate Pólya Gamma Samplers–Efficient MCMC for Possibly Imbalanced Binary and Categorical Data
by Gregor Zens & Sylvia Frühwirth-Schnatter & Helga Wagner - 2560-2571 Bayesian Inference on High-Dimensional Multivariate Binary Responses
by Antik Chakraborty & Rihui Ou & David B. Dunson - 2572-2584 Discovery and Inference of a Causal Network with Hidden Confounding
by Li Chen & Chunlin Li & Xiaotong Shen & Wei Pan - 2585-2597 A Regression-Based Approach to Robust Estimation and Inference for Genetic Covariance
by Jianqiao Wang & Sai Li & Hongzhe Li - 2598-2609 Copula Modeling of Serially Correlated Multivariate Data with Hidden Structures
by Robert Zimmerman & Radu V. Craiu & Vianey Leos-Barajas - 2610-2621 The Cellwise Minimum Covariance Determinant Estimator
by Jakob Raymaekers & Peter J. Rousseeuw - 2622-2633 Controlling Cumulative Adverse Risk in Learning Optimal Dynamic Treatment Regimens
by Mochuan Liu & Yuanjia Wang & Haoda Fu & Donglin Zeng - 2634-2646 Latent Space Modeling of Hypergraph Data
by Kathryn Turnbull & Simón Lunagómez & Christopher Nemeth & Edoardo Airoldi - 2647-2657 Minimax Quasi-Bayesian Estimation in Sparse Canonical Correlation Analysis via a Rayleigh Quotient Function
by Qiuyun Zhu & Yves Atchadé - 2658-2669 A Projection Space-Filling Criterion and Related Optimality Results
by Chenlu Shi & Hongquan Xu - 2670-2679 New Estimands for Experiments with Strong Interference
by David Choi - 2680-2694 Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression
by Jianqing Fan & Yihong Gu - 2695-2708 Uniform Inference for Kernel Density Estimators with Dyadic Data
by Matias D. Cattaneo & Yingjie Feng & William G. Underwood - 2709-2721 A General Framework for Circular Local Likelihood Regression
by María Alonso-Pena & Irène Gijbels & Rosa M. Crujeiras - 2722-2732 Enveloped Huber Regression
by Le Zhou & R. Dennis Cook & Hui Zou - 2733-2747 Dimension Reduction for Fréchet Regression
by Qi Zhang & Lingzhou Xue & Bing Li - 2748-2759 Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning
by Siyi Deng & Yang Ning & Jiwei Zhao & Heping Zhang - 2760-2771 Higher-Order Expansions and Inference for Panel Data Models
by Jiti Gao & Bin Peng & Yayi Yan - 2772-2784 Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
by Xueqin Wang & Jin Zhu & Wenliang Pan & Junhao Zhu & Heping Zhang - 2785-2798 In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior
by Antonio R. Linero - 2799-2810 Testing General Linear Hypotheses Under a High-Dimensional Multivariate Regression Model with Spiked Noise Covariance
by Haoran Li & Alexander Aue & Debashis Paul & Jie Peng - 2811-2821 Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
by Ye Shen & Hengrui Cai & Rui Song - 2822-2832 Split Knockoffs for Multiple Comparisons: Controlling the Directional False Discovery Rate
by Yang Cao & Xinwei Sun & Yuan Yao - 2833-2843 Bayesian Spline-Based Hidden Markov Models with Applications to Actimetry Data and Sleep Analysis
by Sida Chen & Bärbel Finkenstädt - 2844-2856 Optimal Subsampling via Predictive Inference
by Xiaoyang Wu & Yuyang Huo & Haojie Ren & Changliang Zou - 2857-2868 A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models
by Yinrui Sun & Li Ma & Yin Xia - 2869-2880 Causal Inference with Noncompliance and Unknown Interference
by Tadao Hoshino & Takahide Yanagi - 2881-2894 Minimum Resource Threshold Policy Under Partial Interference
by Chan Park & Guanhua Chen & Menggang Yu & Hyunseung Kang - 2895-2907 Online Regularization toward Always-Valid High-Dimensional Dynamic Pricing
by Chi-Hua Wang & Zhanyu Wang & Will Wei Sun & Guang Cheng - 2908-2918 Bootstrap Inference in the Presence of Bias
by Giuseppe Cavaliere & Sílvia Gonçalves & Morten Ørregaard Nielsen & Edoardo Zanelli - 2919-2933 Semi-Distance Correlation and Its Applications
by Wei Zhong & Zhuoxi Li & Wenwen Guo & Hengjian Cui - 2934-2946 Balancing Covariates in Randomized Experiments with the Gram–Schmidt Walk Design
by Christopher Harshaw & Fredrik Sävje & Daniel A. Spielman & Peng Zhang - 2947-2958 Bounding Wasserstein Distance with Couplings
by Niloy Biswas & Lester Mackey - 2959-2971 Model-Robust and Efficient Covariate Adjustment for Cluster-Randomized Experiments
by Bingkai Wang & Chan Park & Dylan S. Small & Fan Li - 2972-2982 Online Statistical Inference for Stochastic Optimization via Kiefer-Wolfowitz Methods
by Xi Chen & Zehua Lai & He Li & Yichen Zhang - 2983-2995 Fitting Latent Non-Gaussian Models Using Variational Bayes and Laplace Approximations
by Rafael Cabral & David Bolin & Håvard Rue - 2996-3007 Dynamic Matrix Recovery
by Ziyuan Chen & Ying Yang & Fang Yao - 3008-3019 Clustering High-Dimensional Noisy Categorical Data
by Zhiyi Tian & Jiaming Xu & Jen Tang - 3020-3032 A Kernel Measure of Dissimilarity between M Distributions
by Zhen Huang & Bodhisattva Sen - 3033-3044 Robust Validation: Confident Predictions Even When Distributions Shift
by Maxime Cauchois & Suyash Gupta & Alnur Ali & John C. Duchi - 3045-3058 Policy Learning with Asymmetric Counterfactual Utilities
by Eli Ben-Michael & Kosuke Imai & Zhichao Jiang - 3059-3072 Extremal Random Forests
by Nicola Gnecco & Edossa Merga Terefe & Sebastian Engelke - 3073-3085 Graphical Principal Component Analysis of Multivariate Functional Time Series
by Jianbin Tan & Decai Liang & Yongtao Guan & Hui Huang - 3086-3100 A Composite Likelihood-Based Approach for Change-Point Detection in Spatio-Temporal Processes
by Zifeng Zhao & Ting Fung Ma & Wai Leong Ng & Chun Yip Yau - 3101-3112 Identifiability and Consistent Estimation for Gaussian Chain Graph Models
by Ruixuan Zhao & Haoran Zhang & Junhui Wang - 3113-3126 Reinforcement Learning in Latent Heterogeneous Environments
by Elynn Y. Chen & Rui Song & Michael I. Jordan - 3127-3140 Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
by Meng Li & Zejian Liu & Cheng-Han Yu & Marina Vannucci - 3141-3151 Consistent Community Detection in Inter-Layer Dependent Multi-Layer Networks
by Jingnan Zhang & Junhui Wang & Xueqin Wang - 3152-3163 Federated Offline Reinforcement Learning
by Doudou Zhou & Yufeng Zhang & Aaron Sonabend-W & Zhaoran Wang & Junwei Lu & Tianxi Cai - 3164-3182 Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison
by Lucas Vogels & Reza Mohammadi & Marit Schoonhoven & Ş. İlker Birbil - 3183-3184 Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis
by Lifeng Lin - 3184-3186 Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values
by Ross L. Prentice - 3186-3187 Spatial Statistics for Data Science: Theory and Practice with R.
by Chae Young Lim - 3188-3188 Correction
by The Editors - 3189-3189 Corrections to “Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections”
by The Editors
July 2024, Volume 119, Issue 547
- 1697-1708 Weighted Functional Data Analysis for the Calibration of a Ground Motion Model in Italy
by Teresa Bortolotti & Riccardo Peli & Giovanni Lanzano & Sara Sgobba & Alessandra Menafoglio - 1709-1721 Bayesian Integrative Region Segmentation in Spatially Resolved Transcriptomic Studies
by Yinqiao Yan & Xiangyu Luo - 1722-1735 Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information
by Stéphane Guerrier & Christoph Kuzmics & Maria-Pia Victoria-Feser - 1736-1750 Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing
by Ting Li & Chengchun Shi & Zhaohua Lu & Yi Li & Hongtu Zhu - 1751-1764 Coexchangeable Process Modeling for Uncertainty Quantification in Joint Climate Reconstruction
by Lachlan Astfalck & Daniel Williamson & Niall Gandy & Lauren Gregoire & Ruza Ivanovic - 1765-1777 Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by Jianmin Chen & Robert H. Aseltine & Fei Wang & Kun Chen - 1778-1793 An Automated Approach to Causal Inference in Discrete Settings
by Guilherme Duarte & Noam Finkelstein & Dean Knox & Jonathan Mummolo & Ilya Shpitser - 1794-1804 Asymptotic Distribution-Free Independence Test for High-Dimension Data
by Zhanrui Cai & Jing Lei & Kathryn Roeder - 1805-1819 Classified Mixed Model Projections
by J. Sunil Rao & Mengying Li & Jiming Jiang - 1820-1832 Gaussian Approximation and Spatially Dependent Wild Bootstrap for High-Dimensional Spatial Data
by Daisuke Kurisu & Kengo Kato & Xiaofeng Shao - 1833-1846 Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning
by Chengchun Shi & Yunzhe Zhou & Lexin Li - 1847-1858 Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality
by Maoran Xu & Hua Zhou & Yujie Hu & Leo L. Duan - 1859-1870 Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness
by Kendrick Qijun Li & Xu Shi & Wang Miao & Eric Tchetgen Tchetgen - 1871-1881 Bahadur Efficiency of Observational Block Designs
by Paul R. Rosenbaum - 1882-1894 Exact Bayesian Inference for Diffusion-Driven Cox Processes
by Flávio B. Gonçalves & Krzysztof G. Łatuszyński & Gareth O. Roberts - 1895-1910 On the Estimation of the Number of Communities for Sparse Networks
by Neil Hwang & Jiarui Xu & Shirshendu Chatterjee & Sharmodeep Bhattacharyya - 1911-1922 Multivariate Sparse Clustering for Extremes
by Nicolas Meyer & Olivier Wintenberger - 1923-1932 Spectral Embedding of Weighted Graphs
by Ian Gallagher & Andrew Jones & Anna Bertiger & Carey E. Priebe & Patrick Rubin-Delanchy - 1933-1944 DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation
by Yifan He & Ruiyang Wu & Yong Zhou & Yang Feng - 1945-1956 Frequency Detection and Change Point Estimation for Time Series of Complex Oscillation
by Hau-Tieng Wu & Zhou Zhou - 1957-1967 Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis
by Daolin Pang & Hongyu Zhao & Tao Wang - 1968-1984 Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies
by Zijian Guo - 1985-1999 Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data
by Yabo Niu & Yang Ni & Debdeep Pati & Bani K. Mallick - 2000-2010 Optimal Dynamic Treatment Regimes and Partial Welfare Ordering
by Sukjin Han - 2011-2025 Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization
by Chengchun Shi & Zhengling Qi & Jianing Wang & Fan Zhou - 2026-2037 Sensitivity to Unobserved Confounding in Studies with Factor-Structured Outcomes
by Jiajing Zheng & Jiaxi Wu & Alexander D’Amour & Alexander Franks - 2038-2050 High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling
by Haeran Cho & Hyeyoung Maeng & Idris A. Eckley & Paul Fearnhead - 2051-2065 De-confounding Causal Inference Using Latent Multiple-Mediator Pathways
by Yubai Yuan & Annie Qu - 2066-2077 Inference in High-Dimensional Multivariate Response Regression with Hidden Variables
by Xin Bing & Wei Cheng & Huijie Feng & Yang Ning - 2078-2091 Ideal Bayesian Spatial Adaptation
by Veronika Ročková & Judith Rousseau - 2092-2104 PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection
by Sihan Huang & Jiajin Sun & Yang Feng - 2105-2116 A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees
by Zhao Tang Luo & Huiyan Sang & Bani Mallick - 2117-2128 Empirical Likelihood for Network Data
by Yukitoshi Matsushita & Taisuke Otsu - 2129-2139 A Comprehensive Bayesian Framework for Envelope Models
by Saptarshi Chakraborty & Zhihua Su - 2140-2153 Spectral Clustering, Bayesian Spanning Forest, and Forest Process
by Leo L. Duan & Arkaprava Roy - 2154-2165 Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles
by Luca Merlo & Lea Petrella & Nicola Salvati & Nikos Tzavidis - 2166-2177 Semiparametrically Efficient Method for Enveloped Central Space
by Linquan Ma & Jixin Wang & Han Chen & Lan Liu - 2178-2189 Unveiling the Unobservable: Causal Inference on Multiple Derived Outcomes
by Yumou Qiu & Jiarui Sun & Xiao-Hua Zhou - 2190-2205 Network Estimation by Mixing: Adaptivity and More
by Tianxi Li & Can M. Le - 2206-2216 Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions
by David Deuber & Jinzhou Li & Sebastian Engelke & Marloes H. Maathuis - 2217-2229 Latent Multimodal Functional Graphical Model Estimation
by Katherine Tsai & Boxin Zhao & Sanmi Koyejo & Mladen Kolar - 2230-2241 A Unified Nonparametric Fiducial Approach to Interval-Censored Data
by Yifan Cui & Jan Hannig & Michael R. Kosorok - 2242-2255 Exact Decoding of a Sequentially Markov Coalescent Model in Genetics
by Caleb Ki & Jonathan Terhorst - 2256-2268 A Negative Correlation Strategy for Bracketing in Difference-in-Differences
by Ting Ye & Luke Keele & Raiden Hasegawa & Dylan S. Small - 2269-2281 Nonparametric Finite Mixture: Applications in Overcoming Misclassification Bias
by Zi Ye & Solomon W. Harrar - 2282-2293 Graphical Model Inference with Erosely Measured Data
by Lili Zheng & Genevera I. Allen - 2294-2304 Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs
by Liuqing Yang & Yongdao Zhou & Haoda Fu & Min-Qian Liu & Wei Zheng - 2305-2316 HAC Covariance Matrix Estimation in Quantile Regression
by Antonio F. Galvao & Jungmo Yoon - 2317-2327 A Randomized Pairwise Likelihood Method for Complex Statistical Inferences
by Gildas Mazo & Dimitris Karlis & Andrea Rau - 2328-2344 Group Network Hawkes Process
by Guanhua Fang & Ganggang Xu & Haochen Xu & Xuening Zhu & Yongtao Guan - 2345-2355 Generalized Bayesian Inference for Discrete Intractable Likelihood
by Takuo Matsubara & Jeremias Knoblauch & François-Xavier Briol & Chris. J. Oates - 2356-2368 Random Fixed Boundary Flows
by Zhigang Yao & Yuqing Xia & Zengyan Fan - 2369-2381 Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models
by Luca Alessandro Silva & Giacomo Zanella - 2382-2395 Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models
by Yixin Wang & Anthony Degleris & Alex Williams & Scott W. Linderman - 2396-2406 A Wasserstein Index of Dependence for Random Measures
by Marta Catalano & Hugo Lavenant & Antonio Lijoi & Igor Prünster - 2407-2417 Smoothness-Penalized Deconvolution (SPeD) of a Density Estimate
by David Kent & David Ruppert - 2418-2419 Introduction to Environmental Data Science
by Timothée Poisot - 2419-2420 Controlled Epidemiological Studies
by Kaushik Ghosh - 2421-2421 Statistical Methods in Health Disparity Research
by Susan M. Paddock - 2421-2422 Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests
by Reza Mohammadi - 2423-2423 Corrigendum to Maximum Likelihood Estimation of the Multivariate Normal Mixture Model
by The Editors
April 2024, Volume 119, Issue 546
- 795-797 Partnering With Authors to Enhance Reproducibility at JASA
by Julia Wrobel & Emily C. Hector & Lorin Crawford & Lucy D’Agostino McGowan & Natalia da Silva & Jeff Goldsmith & Stephanie Hicks & Michael Kane & Youjin Lee & Vinicius Mayrink & Christopher J. Paciorek & Therri Usher & Julian Wolfson - 798-810 Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images
by Cong Zhang & Tejasv Bedi & Chul Moon & Yang Xie & Min Chen & Qiwei Li - 811-824 Estimating Cell-Type-Specific Gene Co-Expression Networks from Bulk Gene Expression Data with an Application to Alzheimer’s Disease
by Chang Su & Jingfei Zhang & Hongyu Zhao - 825-838 Leveraging Weather Dynamics in Insurance Claims Triage Using Deep Learning
by Peng Shi & Wei Zhang & Kun Shi - 839-850 Estimating Trans-Ancestry Genetic Correlation with Unbalanced Data Resources
by Bingxin Zhao & Xiaochen Yang & Hongtu Zhu - 851-863 Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition
by Shiying Wang & Todd Constable & Heping Zhang & Yize Zhao - 864-874 Addressing Multiple Detection Limits with Semiparametric Cumulative Probability Models
by Yuqi Tian & Chun Li & Shengxin Tu & Nathan T. James & FrankE. Harrell & BryanE. Shepherd - 875-886 Optimal Design of Experiments on Riemannian Manifolds
by Hang Li & Enrique Del Castillo - 887-903 Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization
by Hao Yang Teng & Zhengjun Zhang - 904-914 Valid Model-Free Spatial Prediction
by Huiying Mao & Ryan Martin & Brian J. Reich - 915-928 Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
by Zhengling Qi & Rui Miao & Xiaoke Zhang - 929-941 Finite-dimensional Discrete Random Structures and Bayesian Clustering
by Antonio Lijoi & Igor Prünster & Tommaso Rigon - 942-956 Partially Linear Additive Regression with a General Hilbertian Response
by Sungho Cho & Jeong Min Jeon & Dongwoo Kim & Kyusang Yu & Byeong U. Park - 957-969 Simultaneous Decorrelation of Matrix Time Series
by Yuefeng Han & Rong Chen & Cun-Hui Zhang & Qiwei Yao - 970-982 Adaptive Algorithm for Multi-Armed Bandit Problem with High-Dimensional Covariates
by Wei Qian & Ching-Kang Ing & Ji Liu - 983-994 Confidently Comparing Estimates with the c-value
by Brian L. Trippe & Sameer K. Deshpande & Tamara Broderick - 995-1007 Guaranteed Functional Tensor Singular Value Decomposition
by Rungang Han & Pixu Shi & Anru R. Zhang - 1008-1018 A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models
by Changyu Liu & Xingqiu Zhao & Jian Huang - 1019-1031 Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal Models
by Christoph Schultheiss & Peter Bühlmann & Ming Yuan - 1032-1043 On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity
by Zudi Lu & Xiaohang Ren & Rongmao Zhang - 1044-1054 Copula Based Cox Proportional Hazards Models for Dependent Censoring
by Negera Wakgari Deresa & Ingrid Van Keilegom - 1055-1064 Optimal Linear Discriminant Analysis for High-Dimensional Functional Data
by Kaijie Xue & Jin Yang & Fang Yao - 1065-1075 A General M-estimation Theory in Semi-Supervised Framework
by Shanshan Song & Yuanyuan Lin & Yong Zhou - 1076-1088 Are Latent Factor Regression and Sparse Regression Adequate?
by Jianqing Fan & Zhipeng Lou & Mengxin Yu - 1089-1101 Variational Bayes for Fast and Accurate Empirical Likelihood Inference
by Weichang Yu & Howard D. Bondell - 1102-1111 Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event
by Yue Wang & Bin Nan & John D. Kalbfleisch - 1112-1123 Bayesian Robustness: A Nonasymptotic Viewpoint
by Kush Bhatia & Yi-An Ma & Anca D. Dragan & Peter L. Bartlett & Michael I. Jordan - 1124-1135 Skeleton Clustering: Dimension-Free Density-Aided Clustering
by Zeyu Wei & Yen-Chi Chen - 1136-1154 A Two-Sample Conditional Distribution Test Using Conformal Prediction and Weighted Rank Sum
by Xiaoyu Hu & Jing Lei - 1155-1167 Bayesian Modeling with Spatial Curvature Processes
by Aritra Halder & Sudipto Banerjee & Dipak K. Dey - 1168-1180 Solving Estimating Equations With Copulas
by Thomas Nagler & Thibault Vatter - 1181-1191 Intraday Periodic Volatility Curves
by Torben G. Andersen & Tao Su & Viktor Todorov & Zhiyuan Zhang - 1192-1204 Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling
by Qi Xu & Yubai Yuan & Junhui Wang & Annie Qu - 1205-1214 Nonlinear Causal Discovery with Confounders
by Chunlin Li & Xiaotong Shen & Wei Pan - 1215-1228 Online Smooth Backfitting for Generalized Additive Models
by Ying Yang & Fang Yao & Peng Zhao - 1229-1239 Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach
by Jae Kwang Kim & J. N. K. Rao & Zhonglei Wang - 1240-1251 Instrumental Variable Estimation of Marginal Structural Mean Models for Time-Varying Treatment
by Haben Michael & Yifan Cui & Scott A. Lorch & Eric J. Tchetgen Tchetgen - 1252-1263 Factor Modeling for Clustering High-Dimensional Time Series
by Bo Zhang & Guangming Pan & Qiwei Yao & Wang Zhou - 1264-1273 Network Inference Using the Hub Model and Variants
by Zhibing He & Yunpeng Zhao & Peter Bickel & Charles Weko & Dan Cheng & Jirui Wang - 1274-1285 Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer
by Sai Li & Linjun Zhang & T. Tony Cai & Hongzhe Li - 1286-1296 On Learning and Testing of Counterfactual Fairness through Data Preprocessing
by Haoyu Chen & Wenbin Lu & Rui Song & Pulak Ghosh - 1297-1308 Distributed Inference for Spatial Extremes Modeling in High Dimensions
by Emily C. Hector & Brian J. Reich - 1309-1321 Doubly Robust Capture-Recapture Methods for Estimating Population Size
by Manjari Das & Edward H. Kennedy & Nicholas P. Jewell - 1322-1335 Variable Selection for High-Dimensional Nodal Attributes in Social Networks with Degree Heterogeneity
by Jia Wang & Xizhen Cai & Xiaoyue Niu & Runze Li - 1336-1347 Fixed-Domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget
by Cheng Li & Saifei Sun & Yichen Zhu - 1348-1359 Semiparametric Proximal Causal Inference
by Yifan Cui & Hongming Pu & Xu Shi & Wang Miao & Eric Tchetgen Tchetgen - 1360-1373 Bayesian Conditional Transformation Models
by Manuel Carlan & Thomas Kneib & Nadja Klein - 1374-1384 Cohesion and Repulsion in Bayesian Distance Clustering
by Abhinav Natarajan & Maria De Iorio & Andreas Heinecke & Emanuel Mayer & Simon Glenn - 1385-1395 Feature Screening with Conditional Rank Utility for Big-Data Classification
by Xingxiang Li & Chen Xu - 1396-1408 Test of Significance for High-Dimensional Thresholds with Application to Individualized Minimal Clinically Important Difference
by Huijie Feng & Jingyi Duan & Yang Ning & Jiwei Zhao - 1409-1423 Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields
by Matthias Katzfuss & Florian Schäfer - 1424-1433 Tail Spectral Density Estimation and Its Uncertainty Quantification: Another Look at Tail Dependent Time Series Analysis
by Ting Zhang & Beibei Xu - 1434-1445 Cross-Validation: What Does It Estimate and How Well Does It Do It?
by Stephen Bates & Trevor Hastie & Robert Tibshirani - 1446-1460 Efficient Multimodal Sampling via Tempered Distribution Flow
by Yixuan Qiu & Xiao Wang - 1461-1472 Inference in High-Dimensional Online Changepoint Detection
by Yudong Chen & Tengyao Wang & Richard J. Samworth - 1473-1485 Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions
by Qin Fang & Shaojun Guo & Xinghao Qiao - 1486-1499 Statistical Inferences for Complex Dependence of Multimodal Imaging Data
by Jinyuan Chang & Jing He & Jian Kang & Mingcong Wu - 1500-1512 Sparse Convoluted Rank Regression in High Dimensions
by Le Zhou & Boxiang Wang & Hui Zou - 1513-1525 Testing Simultaneous Diagonalizability
by Yuchen Xu & Marie-Christine Düker & David S. Matteson - 1526-1540 A Unified Inference for Predictive Quantile Regression
by Xiaohui Liu & Wei Long & Liang Peng & Bingduo Yang - 1541-1553 Inference for Treatment-Specific Survival Curves Using Machine Learning
by Ted Westling & Alex Luedtke & Peter B. Gilbert & Marco Carone - 1554-1565 Anytime-Valid Tests of Conditional Independence Under Model-X
by Peter Grünwald & Alexander Henzi & Tyron Lardy - 1566-1578 Ridge Regression Under Dense Factor Augmented Models
by Yi He - 1579-1591 Estimation of Linear Functionals in High-Dimensional Linear Models: From Sparsity to Nonsparsity
by Junlong Zhao & Yang Zhou & Yufeng Liu - 1592-1603 Censored Interquantile Regression Model with Time-Dependent Covariates
by Chi Wing Chu & Tony Sit - 1604-1618 Large-Scale Two-Sample Comparison of Support Sets
by Haoyu Geng & Xiaolong Cui & Haojie Ren & Changliang Zou - 1619-1632 A Hierarchical Expected Improvement Method for Bayesian Optimization
by Zhehui Chen & Simon Mak & C. F. Jeff Wu - 1633-1646 Narrowest Significance Pursuit: Inference for Multiple Change-Points in Linear Models
by Piotr Fryzlewicz - 1647-1656 Survival Mixed Membership Blockmodel
by Fangda Song & Jing Chu & Shuangge Ma & Yingying Wei - 1657-1670 Independence Weights for Causal Inference with Continuous Treatments
by Jared D. Huling & Noah Greifer & Guanhua Chen - 1671-1686 Markov Bases: A 25 Year Update
by Félix Almendra-Hernández & Jesús A. De Loera & Sonja Petrović - 1687-1689 Mathematical Foundations of Infinite-Dimensional Statistical Models
by Bodhisattva Sen - 1689-1690 Theory of Statistical Inference
by Somabha Mukherjee - 1690-1691 Quantitative Methods for Precision Medicine: Pharmacogenomics in Action
by Arthur Berg