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Papers to Appear in Subsequent Issues

Exact minimax estimation of the predictive density in sparse Gaussian models

Gourab Mukherjee and Iain M Johnstone

Rate-Optimal Posterior Contraction for Sparse PCA

Harrison Zhou and Chao Gao

Frequentist coverage of adaptive nonparametric Bayesian credible sets

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

Discussion of Frequentist Coverage of Adaptive Nonparametric Bayesian Credible Sets

Ismael Castillo

Discussion on: Frequentist Coverage of Adaptive Bayesian Credible Sets

Judith Rousseau

Discussion: Frequentist Coverage Of Adaptive Nonparametric Bayesian Credible Sets

Zongming Ma and Mark G. Low

Discussion: "Coverage of Bayesian Credible Sets"

Subhashis Ghoshal

Rejoinder to discussions of "Frequentist coverage of adaptive nonparametric Bayesian credible sets"

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

Graph connection laplacian methods can be made robust to noise

Noureddine El Karoui and Hau-tieng Wu

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

The Geometry of Kernelized Spectral Clustering

Geoffrey Schiebinger, Martin J. Wainwright, and Bin Yu

Independence Test For High Dimensional Data Based On Regularized Canonical Correlation Coefficients

Guangming Pan and Yanrong Yang

Role of Normalization in Spectral Clustering for Stochastic Blockmodels

Purnamrita Sarkar and Peter J. Bickel

Asymptotic Normality and Optimalities in Estimation of Large Gaussian Graphical Model

Zhao Ren, Tingni Sun, Cun-Hui Zhang, and Harrison Zhou

Universally Optimal Designs for Two Interference Models

Wei Zheng

Asymptotics for In-Sample Density Forecasting

Young Kyung Lee, Enno Mammen, Jens P Nielsen, and Byeong U Park

Minimax-optimal nonparametric regression in high dimensions

Yun Yang and Surya T. Tokdar

Robust and Computationally Feasible Community Detection in the Presence of Arbitrary Outlier Nodes

Tony Cai and Xiaodong Li

A Frequency Domain Empirical Likelihood Method for Irregularly Spaced Spatial Data

Soutir Bandyopadhyay, Soumendra N. Lahiri, and Daniel J. Nordman

Substitution principle for CLT of linear spectral statistics of high-dimensional sample covariance matrices with applications to hypothesis testing

Shurong Zheng, Zhidong Bai, and Jianfeng Yao

Non asymptotic bounds for vector quantization

Clément Levrard

On the Marcenko-Pastur law for linear time series

Debashis Paul

A generalized backdoor criterion

Marloes H. Maathuis and Diego Colombo

Correction to "Strong Oracle Optimality of Folded Concave Penalized Estimation"

Jianqing Fan, Lingzhou Xue, and Hui Zou

Detecting Gradual Changes in Locally Stationary Processes

Michael Vogt and Holger Dette

Testing for pure-jump processes for high-frequency data

Xinbing Kong, Zhi Liu, and Bingyi Jing

Time-Varying Nonlinear Regression Models: Nonparametric Estimation and Model Selection

Ting Zhang and Wei Biao Wu

Computational Barriers in Minimax Submatrix Detection

Zongming Ma and Yihong Wu

Covariance matrix estimation and linear process bootstrap for multivariate time series of possibly increasing dimension

Carsten Jentsch and Dimitris Politis

New procedures controlling the false discovery proportion via Romano-Wolf's heuristic

Sylvain Delattre and Etienne Roquain

The Fused Kolmogorov Filter: A Nonparametric Model-Free Screening Method

Qing Mai and Hui Zou

Asymptotically Distribution-Free Goodness-of-Fit Testing for Tail Copulas

John H.J. Einmahl, Sami Umut Can, Estate V. Khmaladze, and Roger J.A. Laeven

Bias correction in multivariate extremes

Anne Laure Fougères, Laurens de Haan, and Cécile Mercadier

Adaptive estimation over anisotropic functional classes via oracle approach

Oleg Lepski

Quadro: A Supervised Dimension Reduction Method Via Rayleigh Quotient Optimization

Jianqing Fan, Zheng Tracy Ke, Han Liu, and Lucy Xia

Innovated Interaction Screening for High-Dimensional Nonlinear Classification

Yingying Fan, Yinfei Kong, Daoji Li, and Zemin Zheng

Sparse high-dimensional varying coefficient model: non-asymptotic minimax study

Marianna Pensky and Olga Klopp

Do Semidefinite Relaxations Solve Sparse PCA up to the Information Limit?

Robert Krauthgamer, Boaz Nadler, and Dan Vilenchik

On non-negative unbiased estimators

Pierre Etienne Jacob and Alexandre Hoang Thiéry

Higher criticism: p-values and criticism

David O. Siegmund and Jian Li

Joint Asymptotics for Semi-Nonparametric Regression Models with Partially Linear Structure

Guang Cheng and Zuofeng Shang

Efficient Calibration for Imperfect Computer Models

Rui Tuo and Jeff Wu

Regularized Estimation in Sparse High-Dimensional Time Series Models

Sumanta Basu and George Michailidis

Robustness to Outliers in Location-Scale Parameter Model using Log-regularly Varying Distributions

Alain Desgagné

Optimal Designs for the Proportional Interference Model

Kang Li, Wei Zheng, and Mingyao Ai

Bandwidth selection in kernel empirical risk minimization via the gradient

Michaël Chichignoud and Sébastien Loustau

Structural Markov graph laws for Bayesian model uncertainty

Simon Byrne and Philip Dawid

Semiparametric GEE Analysis in Partially Linear Single-Index Models for Longitudinal Data

Jia Chen, Degui Li, Hua Liang, and Suojin Wang

Consistency of Random Forests

Erwan Scornet, Gérard Biau, and Jean-Philippe Vert

Nonparametric Inference in Generalized Functional Linear Models

Zuofeng Shang and Guang Cheng

Functional Linear Regression with Points of Impact

Alois Kneip, Dominik Poss, and Pascal Sarda

On risk bounds in isotonic and other shape restricted regression problems

Sabyasachi Chatterjee, Adityanand Guntuboyina, and Bodhisattva Sen

Maximin effects in inhomogeneous large-scale data

Nicolai Meinshausen, Peter Bühlmann

Correction Inverse Regression for Longitudinal Data

Ci-Ren Jiang and Jane-Ling Wang

Jump Activity Estimation for Pure-Jump Semimartingales via Self-Normalized Statistics

Viktor Todorov

Optimal Detection of Multi-Sample Aligned Sparse Signals

Hock Peng Chan and Guenther Walther

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