| Convex Relaxation Methods for Community Detection |
Xiaodong Li, Yudong Chen, and Jiaming Xu
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| Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing |
Chao Gao and Zongming Ma
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| Bipartite Causal Inference with Interference |
Corwin M Zigler and Georgia Papadogeorgou
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| A general framework for Vecchia approximations of Gaussian processes |
Matthias Katzfuss and Joseph Guinness
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| Additive and multiplicative effects network models |
Peter Hoff
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| A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery |
Jian Huang, Yuling Jiao, Bangti Jin, Jin Liu, Xiliang Lu, and Can Yang
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| A statistical framework for modern network science |
Harry Crane and Walter Dempsey
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| Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss, and Simpson’s Paradox |
Ruobin Gong and Xiao-Li Meng
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| On general notions of depth for regression |
Yijun Zuo
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| A Conversation with Tze Leung Lai |
Zhiliang Ying, Dylan S. Small, and Ying Lu
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| The Box-Cox Transformation: Review and Extensions |
Anthony C Atkinson, Marco Riani, and Aldo Corbellini
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| Non-commutative Probability and Multiplicative Cascades |
Ian Wray McKeague
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| A selective overview of deep learning |
Jianqing Fan, Cong Ma, and Yiqiao Zhong
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| Stochastic Approximation: from Statistical Origin to Big-Data, Multidisciplinary Applications |
Tze Leung Lai and Hongsong Yuan
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| Robust high dimensional factor models with applications to statistical machine learning |
Jianqing Fan, Kaizheng Wang, Yiqiao Zhong, and Ziwei Zhu
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| On estimation and inference in latent structure random graphs |
Avanti Athreya, Minh Tang, Youngser Park, and Carey E. Priebe
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| A Hybrid Scan Gibbs Sampler for Bayesian Models with Latent Variables |
Grant Backlund, James P Hobert, Yeun Ji Jung, and Kshitij Khare
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| Network Modeling in Biology: Statistical Methods for Gene and Brain Networks |
Y.X. Rachel Wang, Lexin Li, Jingyi Jessica Li, and Haiyan Huang
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| Maximum likelihood multiple imputation: Faster imputations and consistent standard errors without posterior draws |
Paul T von Hippel and Jonathan Bartlett
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| A horse race between the block maxima method and the peak-over-threshold approach |
Axel Buecher and Chen Zhou
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| Khinchin’s 1929 paper on von Mises’s frequency theory of probability |
Lukas M. Verburgt
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| Random-Matrix Theory and Its Applications |
Alan Julian Izenman
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| A Conversation with Dennis Cook |
Efstathia Bura, Daniel Pena, Lexin Li, Christopher Nachtsheim, Claude Setodji, Robert E Weiss, and Bing Li
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| The GENIUS Approach to Robust Mendelian Randomization Inference |
Eric Tchetgen Tchetgen, BaoLuo Sun, and Stefan Walter
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| A general framework for the analysis of adaptive experiments |
Ian C. Marschner
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| A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio |
Danica M Ommen and Christopher P. Saunders
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| Identification of Causal Effects Within Principal Strata Using an Auxiliary Variable |
Peng Deng
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| Confidence as likelihood |
Yudi Pawitan and Youngjo Lee
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| Revisiting the Gelman-Rubin Diagnostic |
Dootika Vats and Christina P Knudson
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| Comparison of Two Frameworks for Analyzing Longitudinal Data |
Jie Zhou, Xiao-Hua Zhou, and Liuquan Sun
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| Symmetrical and Non-Symmetrical Variants of Three-Way Correspondence Analysis for Ordered Variables |
Rosaria Lombardo, Eric J Beh, and Pieter M Kroonenberg
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| In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference |
Sen Zhao, Ali Shojaie, and Daniela Witten
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| Robustness by Reweighting for Kernel Estimators: An Overview |
Kris De Brabanter and Jos De Brabanter
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| Testing randomness online |
Vladimir Vovk
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| Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers |
Xinran Li, Dingdong Yi, and Jun S. Liu
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