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Papers to Appear in Subsequent Issues

Least Quantile of Squares Regression Via Modern Optimization

Dimitris Bertsimas and Rahul Mazumder

Classification algorithms using adaptive partitioning

Albert Cohen, Peter Binev, Wofgang Dahmen, and Ronald DeVore

Optimal Computational and Statistical Rates of Convergence for Sparse Nonconvex Learning Problems

Zhaoran Wang, Han Liu, and Tong Zhang

Covariance Assisted Screening and Estimation

Tracy Ke, Jiashun Jin, and Jianqing Fan

Wild Binary Segmentation for multiple change-point detection

Piotr Fryzlewicz

Optimal cross-over designs for full interaction models

Rosemary A. Bailey and Pierre Druilhet

Exact minimax estimation of the predictive density in sparse Gaussian models

Gourab Mukherjee and Iain M Johnstone

Statistical Inference For Persistent Homology

Sivaraman Balakrishnan, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, and Larry Wasserman

A new perspective on least squares under convex constraint

Sourav Chatterjee

Partial Distance Correlation with Methods for Dissimilarities

Gabor J Szekely and Maria L Rizzo

Minimax Risk of Matrix Denoising by Singular Value Thresholding

David L. Donoho and Matan Gavish

Asymptotic Theory of Generalized Information Criterion for Geostatistical Regression Model Selection

Chih-Hao Chang, Hsin-Cheng Huang, and Ching-Kang Ing

Consistency of maximum likelihood estimation for some dynamical systems

Kevin McGoff, Sayan Mukherjee, Natesh Pillai, and Andrew Nobel

CAM: Causal additive models, high-dimensional order search and penalized regression

Peter Bühlmann, Jonas Peters, and Jan Ernest

Correction Note: Rejoinder to "A Significance Test for the Lasso"

Richard Lockhart, Jonathan Taylor, Ryan Joseph Tibshirani, and Robert Tibshirani

Asymptotic Equivalence for Regression under Fractional Noise

Johannes Schmidt-Hieber

Saturated Locally Optimal Designs Under Differentiable Optimality Criteria

Linwei Hu, Min Yang, and John Stufken

Descartes' rule of signs and the identifiability of population demographic models from genomic variation data

Anand Bhaskar and Yun S. Song

Fast network community detection by SCORE

Jiashun Jin

A New Permutation Test Statistic for Complete Block Designs

Inga Samonenko and John Robinson

ROP: Matrix Recovery via Rank-One Projections

Tony Cai and Anru Zhang

Rate-Optimal Posterior Contraction for Sparse PCA

Harrison Zhou and Chao Gao

Graph-based change-point detection

Hao Chen and Nancy Ruonan Zhang

Frequentist coverage of adaptive nonparametric Bayesian credible sets

Botond Szabo, Aad van der Vaart, and Harry van Zanten

Correction to the Proof of Consistency of Community Detection

Peter J. Bickel, Aiyou Chen, Yunpeng Zhao, Elizaveta Levina, and Ji Zhu

Matrix estimation by Universal Singular Value Thresholding

Sourav Chatterjee

Sparsistency and Agnostic Inference in Sparse PCA

Jing Lei and Vincent Q. Vu

Consistency of Spectral Clustering in Stochastic Block Models

Jing Lei and Alessandro Rinaldo

Graph connection laplacian methods can be made robust to noise

Noureddine El Karoui and Hau-tieng Wu

Intermittent Process Analysis with Scattering Moments

Joan Bruna, Stéphane Mallat, Emmanuel Bacry, and Jean-François Muzy

Discussion of: "Frequentist Coverage of Adaptive Nonparametric Bayesian Credible Sets"

Richard Nickl

Adversarial hypothesis testing and a quantum Stein's Lemma for restricted measurements

Fernando Brandao, Aram Harrow, James Russell Lee, and Yuval Peres

On the efficiency of pseudo-marginal random walk Metropolis algorithms

Chris Sherlock, Alexandre H. Thiery, Gareth O. Roberts, and Jeffrey S. Rosenthal

Hypothesis Testing for High-Dimensional Sparse Binary Regression

Rajarshi Mukherjee, Natesh S. Pillai, and Xihong Lin

On the block maxima method in extreme value theory

Ana Ferreira and Laurens de Haan

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