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Content
January 2025, Volume 120, Issue 549
- 1-6 Our Mission in Action: Past, Present, and Future
by Dionne L. Price - 7-19 Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection
by Kes Ward & Giuseppe Dilillo & Idris Eckley & Paul Fearnhead - 20-21 Discussion of “Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection”
by Mikael Kuusela - 22-25 A Space Astrophysics Perspective on Poisson-FOCuS
by Carlo Graziani - 26-30 Discussion on “Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection” by Ward, Dilillo, Eckley and Fearnhead
by Yang Chen - 31-33 Saha and Ramdas’ Discussion of “Poisson-FOCuS” by Ward, Dilillo, Eckley & Fearnhead
by Aytijhya Saha & Aaditya Ramdas - 34-37 Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder
by Kes Ward & Giuseppe Dilillo & Idris Eckley & Paul Fearnhead - 38-51 Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects
by Steve Yadlowsky & Scott Fleming & Nigam Shah & Emma Brunskill & Stefan Wager - 52-63 Bisection Grover’s Search Algorithm and Its Application in Analyzing CITE-seq Data
by Ping Ma & Yongkai Chen & Haoran Lu & Wenxuan Zhong - 64-79 Using Penalized Synthetic Controls on Truncated Data: A Case Study on Effect of Marijuana Legalization on Direct Payments to Physicians by Opioid Manufacturers
by Bikram Karmakar & Gourab Mukherjee & Wreetabrata Kar - 80-95 Spatial Modeling and Future Projection of Extreme Precipitation Extents
by Peng Zhong & Manuela Brunner & Thomas Opitz & Raphaël Huser - 96-106 Quantification of Vaccine Waning as a Challenge Effect
by Matias Janvin & Mats J. Stensrud - 107-119 Additive Covariance Matrix Models: Modeling Regional Electricity Net-Demand in Great Britain
by V. Gioia & M. Fasiolo & J. Browell & R. Bellio - 120-134 eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring
by Alex Diana & Eleni Matechou & Jim Griffin & Douglas W. Yu & Mingjie Luo & Marie Tosa & Alex Bush & Richard A. Griffiths - 135-146 Data Fission: Splitting a Single Data Point
by James Leiner & Boyan Duan & Larry Wasserman & Aaditya Ramdas - 147-150 Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission
by Lihua Lei - 151-157 Discussion of “Data Fission: Splitting a Single Data Point”
by Anna Neufeld & Ameer Dharamshi & Lucy L. Gao & Daniela Witten & Jacob Bien - 158-158 A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A
by Marta Catalano & Augusto Fasano & Matteo Giordano & Giovanni Rebaudo - 159-160 Data Fission and Sampling Designs: A Discussion
by Kwun Chuen Gary Chan & Ross L. Prentice & Zhenman Yuan - 161-161 Assumption-Lean Data Fission with Resampled Data
by Kevin Fry & Snigdha Panigrahi & Jonathan Taylor - 162-163 Discussion of Leiner et al. “Data Fission: Splitting a Single Data Point”
by Daniel García Rasines & Alastair Young - 164-164 Comment for “Data Fission: Splitting a Single Data Point”
by Sangwon Hyun - 165-166 Empirical Bayes Estimation via Data Fission
by Nikolaos Ignatiadis & Dennis L. Sun - 167-167 Comment on “Data Fission: Splitting a Single Data Point” by James Leiner, Boyan Duan, Larry Wasserman and Aaditya Ramdas
by V. Roshan Joseph - 168-169 Discussion of “Data Fission: Splitting a Single Data Point” by Leiner et al
by Jing Lei & Natalia L. Oliveira & Ryan J. Tibshirani - 170-171 Comments on “Data Fission: Splitting a Single Data Point”
by Sanat K. Sarkar - 172-173 Comment on “Data Fission: Splitting a Single Data Point”
by Philip Waggoner - 174-175 Comment on “Data Fission: Splitting a Single Data Point” Data Fission for Unsupervised Learning: A Discussion on Post-Clustering Inference and the Challenges of Debiasing
by Changhu Wang & Xinzhou Ge & Dongyuan Song & Jingyi Jessica Li - 176-177 Comments on “Data Fission: Splitting a Single Data Point” by James Leiner, Boyan Duan, Larry Wasserman, and Aaditya Ramdas
by Lijun Wang & Hongyu Zhao - 178-179 Discussion on “Data Fission: Splitting a Single Data Point”
by Zhigen Zhao - 180-185 Rejoinder
by James Leiner & Boyan Duan & Larry Wasserman & Aaditya Ramdas - 186-197 Model-Free Statistical Inference on High-Dimensional Data
by Xu Guo & Runze Li & Zhe Zhang & Changliang Zou - 198-211 Stochastic Low-Rank Tensor Bandits for Multi-Dimensional Online Decision Making
by Jie Zhou & Botao Hao & Zheng Wen & Jingfei Zhang & Will Wei Sun - 212-225 An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series
by Yao Zheng - 226-236 Confidence Intervals for Parameters of Unobserved Events
by Amichai Painsky - 237-250 Ranking Inferences Based on the Top Choice of Multiway Comparisons
by Jianqing Fan & Zhipeng Lou & Weichen Wang & Mengxin Yu - 251-265 Modeling Recurrent Failures on Large Directed Networks
by Qingqing Zhai & Zhisheng Ye & Cheng Li & Matthew Revie & David B. Dunson - 266-277 Robust Personalized Federated Learning with Sparse Penalization
by Weidong Liu & Xiaojun Mao & Xiaofei Zhang & Xin Zhang - 278-290 Doubly Flexible Estimation under Label Shift
by Seong-ho Lee & Yanyuan Ma & Jiwei Zhao - 291-304 Extreme Value Statistics in Semi-Supervised Models
by Hanan Ahmed & John H.J. Einmahl & Chen Zhou - 305-317 CARE: Large Precision Matrix Estimation for Compositional Data
by Shucong Zhang & Huiyuan Wang & Wei Lin - 318-330 Automatic Regenerative Simulation via Non-Reversible Simulated Tempering
by Miguel Biron-Lattes & Trevor Campbell & Alexandre Bouchard-Côté - 331-342 Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding
by Jacob Dorn & Kevin Guo & Nathan Kallus - 343-355 Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information
by Shujie Ma & Po-Yao Niu & Yichong Zhang & Yinchu Zhu - 356-369 Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy
by Antonio R. Linero - 370-381 Inferring Independent Sets of Gaussian Variables after Thresholding Correlations
by Arkajyoti Saha & Daniela Witten & Jacob Bien - 382-394 Efficient Nonparametric Estimation of Stochastic Policy Effects with Clustered Interference
by Chanhwa Lee & Donglin Zeng & Michael G. Hudgens - 395-407 Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning
by Tengyao Wang & Edgar Dobriban & Milana Gataric & Richard J. Samworth - 408-418 Sobolev Calibration of Imperfect Computer Models
by Qingwen Zhang & Wenjia Wang - 419-434 Modeling and Learning on High-Dimensional Matrix-Variate Sequences
by Xu Zhang & Catherine C. Liu & Jianhua Guo & K. C. Yuen & A. H. Welsh - 435-447 Selection and Aggregation of Conformal Prediction Sets
by Yachong Yang & Arun Kumar Kuchibhotla - 448-459 Testing the Number of Common Factors by Bootstrapped Sample Covariance Matrix in High-Dimensional Factor Models
by Long Yu & Peng Zhao & Wang Zhou - 460-471 Controlled Discovery and Localization of Signals via Bayesian Linear Programming
by Asher Spector & Lucas Janson - 472-485 Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators
by Runze Li & Weiming Li & Qinwen Wang - 486-497 Graph-Aligned Random Partition Model (GARP)
by Giovanni Rebaudo & Peter Müller - 498-510 Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform
by Kun Meng & Jinyu Wang & Lorin Crawford & Ani Eloyan - 511-523 Generalized Data Thinning Using Sufficient Statistics
by Ameer Dharamshi & Anna Neufeld & Keshav Motwani & Lucy L. Gao & Daniela Witten & Jacob Bien - 524-534 Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features
by Doudou Zhou & Molei Liu & Mengyan Li & Tianxi Cai - 535-547 Neural Networks for Geospatial Data
by Wentao Zhan & Abhirup Datta - 548-558 Rational Kriging
by V. Roshan Joseph - 559-571 Distribution-Free Prediction Intervals Under Covariate Shift, With an Application to Causal Inference
by Jing Qin & Yukun Liu & Moming Li & Chiung-Yu Huang - 572-583 Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach
by Carolina Luque & Juan Sosa - 584-585 Model-Based Machine Learning
by Emanuela Furfaro - 585-586 ROC Analysis for Classification and Prediction in Practice
by Mauricio Tec - 586-587 Bayesian Nonparametrics for Causal Inference and Missing Data
by P. Richard Hahn - 587-588 Probability Modeling and Statistical Inference in Cancer Screening
by Li C. Cheung - 588-590 Functional Data Analysis with R
by Piotr S. Kokoszka
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