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Next Issues

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Approximate Null Distribution of the Largest Root in Multivariate Analysis

Iain M. Johnstone

DISCO Analysis: A Nonparametric Extension of Analysis of Variance

Maria L Rizzo and Gabor J Szekely

Nonparametric Bayesian multiple testing for longitudinal performance stratification

James G Scott

Use of Multiple Singular Value Decompositions to Analyze Complex Intracellular Calcium Ion Signals

Josue G. Martinez, Jianhua Z. Huang, Robert C. Burghardt, Rola Barhoumi, and Raymond James Carroll

Structured Variable Selection and Estimation

Ming Yuan, Roshan Joseph, and Hui Zou

Workload Forecasting for a Call Center: Methodology and a Case Study

Sivan Aldor-Noiman, Paul David Feigin, and Avishai Mandelbaum

An Outlier Map for Support Vector Machine Classification

Michiel Debruyne

Detecting and handling outlying trajectories in irregularly sampled functional datasets

Daniel Gervini

Profiling Time Course Expression of Virus Genes-An Illustration of Bayesian Inference under Shape Restrictions

Li-Chu Chien, I-Shou Chang, Pramod K. Gupta, Chi-Chung Wen, Yuh-Jenn Wu, Shih Sheng Jiang, and Chao Agnes Hsiung

Incompatibility of Trends in Multi-Year Estimates from the American Community Survey

Tucker Sprague McElroy

Improving the precision of classification trees

Wei-Yin Loh

An integrative analysis of cancer gene expression studies using Baysian latent factor modeling

Daniel Merl, Julia Ling-Yu Chen, Jen-Tsan Chi, and Mike West

Inference on low-rank data matrices with applications to microarray data

Xuming He and Xingdong Feng

A Principal Component Analysis for Trees

Burcu Aydin, Gabor Pataki, Haonan Wang, Elizabeth Bullitt, and J. S. Marron

A Branching Process Model for Flow Cytometry and Budding Index Measurements in Cell Synchrony Experiments

David A. Orlando, Edwin S. Iversen, Jr, Alexander J. Hartemink, and Steven B. Haase

Discovering Influential Variables: A Method of Partitions

Herman Chernoff, Shaw-Hwa Lo, and Tian Zheng

A Bayesian Analysis of Hierarchical Mixtures with Application to Clustering Fingerprints

Sarat C Dass

Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing

Yufen Zhang, James S. Hodges, and Sudipto Banerjee

Bayesian inference and model choice in a hidden stochastic two-compartment model of hematopoietic stem cell fate decisions

Youyi Fong, Peter Guttorp, and Janis Abkowitz

Using Epidemic Prevalence Data to Jointly Estimate Reproduction and Removal

Jan van den Broek and Hiroshi Nishiura

The Utility of Reliability and Survival

Nozer D. Singpurwalla

Functional Data Analytic Approach of Modeling ECG T-wave shape to Measure Cardiovascular Behavior

Yingchun Zhou and Nell Sedransk

Assessing Uncertainty in the Indian Trust Fund

Edward Mulrow, Hee-Choon Shin, and Fritz Scheuren

Semi-parametric dynamic time series modelling with applications to detecting neural dynamics

Fabio Rigat and Jim Q. Smith

An Empirical Bayes Mixture Method For False Discovery Rate and Effect Size Estimation

Omkar Muralidharan

Feature selection in "omics" prediction problems using cat scores and false non-discovery rate control

Miika Ahdesmäki and Korbinian Strimmer

A latent factor model for spatial data with informative missingness

Brian James Reich and Dipankar Bandyopadhyay

Variable Selection and Updating In Model-Based Discriminant Analysis for High Dimensional Data with Food Authenticity Applications

Thomas Brendan Murphy, Nema Dean, and Adrian E. Raftery

Nonparametric Inference Procedure for Percentiles of the Random Effects Distribution in Meta Analysis

Rui Wang, Lu Tian, Tianxi Cai, and L.J. Wei

A Spectral Graph Approach to Discovering Genetic Ancestry

Ann B. Lee, Diana Luca, and Kathryn Roeder

Hidden Markov Models for Alcoholism Treatment Trial Data

Kenneth E Shirley, Dylan Small, Kevin Lynch, Stephen Maisto, and David Oslin

A Multivariate Adaptive Stochastic Search Method for Dimensionality Reduction in Classification

Tian Tian, Gareth James, and Rand Wilcox

BART: Bayesian Additive Regression Trees

Hugh A. Chipman, Edward I. George, and Robert E, McCulloch

Sequential Monte Carlo Pricing of American Style Options Under Stochastic Volatility Models

Bhojnarine R Rambharat and Anthony E Brockwell

Downscaling Extremes: A Comparison of Extreme Value Distributions in Point-Source and Gridded Precipitation Data

Elizabeth C. Mannshardt-Shamseldin, Richard L. Smith, Stephan R. Sain, Linda O. Mearns, and Daniel Cooley

Causal Graphical Models in Systems Genetics: a unifed framework for joint inference of causal network and genetic architecture for correlated phenotypes

Elias Chaibub Neto, Mark P Keller, Alan D Attie, and Brian S Yandell

AN MDL Approach to the Climate Segmentation Problem

QiQi Lu, Robert Lund, and Thomas C. M. Lee

Estimation of Constant and Time-Varying Dynamic Parameters of HIV Infection in a Nonlinear Differential Equation Model

Hua Liang, Hongyu Miao, and Hulin Wu

Deriving Chemosensitivity from Cell Lines: Forensic Bioinformatics and Reproducible Research in High-Throughput Biology

Keith Baggerly and Kevin Coombes

Model misspecification in peaks over threshold analysis

Maria Suveges and Anthony C. Davison

Mean Annual Precipitation Per Day of Three Latitude Bands of the Glove: A Change-point Analysis

Stergios B. Fotopoulos, Venkata K. Jandhyala, and Elena Khapalova

Changing approaches of prosecutors towards juvenile repeated sex-offenders: A Bayesian evaluation

Dipankar Bandyopadhyay, Debajyoti Sinha, Stuart Lipsitz, and Elizabeth Letourneau

A Dirichlet Process Mixture of Hidden Markov Models for Protein Structure Prediction

Kristin Patricia Lennox, David B Dahl, Marina Vannucci, Ryan Day, and Jerry W Tsai

Statistical Inference of Transmission Fidelity of DNA Methylation Patterns Over Somatic Cell Divisions in Mammals

Audrey Qiuyan Fu, Diane P. Genereux, Reinhard Stoeger, Charles D. Laird, and Matthew Stephens

A geometric interpretation of the permutation p-value and its application in eQTL studies

Wei Sun and Fred A Wright

Likelihood Inference for Particle Location in Fluorescence Microscopy

John Hughes, John Fricks, and William Hancock

Bayesian Meta-Analysis for Identifying Periodically Expressed Genes in Fission Yeast Cell Cycle

Xiaodan Fan, Saumyadipta Pyne, and Jun S Liu

Building a Model for Scoring 20 or More Runs in a Baseball Game

Michael R. Huber and Rodney X. Sturdivant

Feature Selection Guided by Structural Information

Martin Slawski, Wolfgang zu Castell, and Gerhard Tutz

A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data

Yuriy Mishchencko, Joshua Vogelstein, and Liam Paninski

High throughput data analysis in behavioral genetics

Anat Sakov, Yoav Benjamini, Ilan Golani, and Dina Lipkind

A time series approach to estimate discontinuities due to a survey redesign

Jan van den Brakel

A Flexible Regression Model for Count Data

Kimberly F Sellers asnd Galit Shmueli

Density estimation for grouped data with application to line transect sampling

Woncheol Jang and Ji Meng Loh

Brownian Distance Covariance

Gabor J Szekely and Maria L Rizzo

Transposable Regularized Covariance Models with an Application to Missing Data Imputation

Genevera I Allen and Robert Tibshirani

The sensitivity of linear regression coefficients' confidence limits to the omission of a confounder

Ben B Hansen, Carrie A Hosman, and Paul W Holland

A nested mixture model for protein identification using mass spectrometry

Qunhua Li, Michael MacCoss, and Matthew Stephens

Assessing the protection provided by misclassification-based disclosure limitation methods for survey microdata

Chris Skinner and Natalie Shlomo

Modeling Hourly Ozone Concentration Fields

Yiping Dou, Nhu D Le, and James V Zidek

Backward Estimation of Stochastic Processes with Failure Events As Time Origins

Kwun Chuen Gary Chan and Mei-Cheng Wang

Approaches for Multi-step Density Forecasts with Application to Aggregated Wind Power

Ada Lau and Patrick McSharry

Bayesian Model Search and Multilevel Inference for SNP Association Studies

Melanie A Wilson, Edwin S Iversen, Merlise A Clyde, Scott C Schmidler, and Joellen M Schildkraut

A general statistical framework for dissecting parent-of-origin effects underlying endosperm traits in flowering plants

Gengxin Li and Yuehua Cui

Optimal Designs for Random Effect Models with Correlated Errors with Applications in Population Pharmacokinetics

Holger Dette, Andrey Pepelyshev, and Tim Holland-Letz

A Smoothing Approach for Data Masking

Yijie Zhou, Francesca Dominici, and Thomas A. Louis

Prediction based classification for longitudinal biomarkers

Andrea Sarah Foulkes, Livio Azzoni, Xiaohong Li, Margaret Johnson, Colette Smith, Karam Mounzer, and Luis Montaner

Intoducing the Discussion Paper by Székely and Rizzo

Michael A. Newton

Sparse Principal Components Analysis for Binary Data

Seokho Lee, Jianhua Z. Huang, and Jianhua Hu

Estimating the Homeless Population in Los Angeles: An Application of Cost-Sensitive Stochastic Gradient Boosting

Brian Kriegler and Richard Berk

Age- and Time-Varying Proportional Hazards Models for Employment Discrimination

George Woodworth and Joseph B. Kadane

Poisson point process models solve the "pseudo-absence problem" for presence-only data in ecology

David I Warton and Leah C Shepherd

Variable Selection and Regression Analysis for Covariates with a Graphical Structure

Hongzhe Li

Accounting for Choice of Measurement Scale in Extreme Value Modeling

Jennifer Wadsworth, Jonathan Tawn, and Philip Jonathan

Detection of Radioactive Material Entering National Ports: a Bayesian Approach to Radiation Portal Data

Siddhartha Dalal and Bing Han

Understanding Species Abundance over Large Landscapes through Latent Local Spatial Modeling

Avishek Chakraborty, Alan E. Gelfand, Adam Wilson, Andrew Latimer, and John A. Silander, Jr.

Bayesian inference for the double Pareto lognormal distribution with applications

Pepa Ramirez Cobo, Rosa E. Lillo Rodriguez, Simon Wilson, and Michael Wiper

Topological inference for EEG and MEG data

James M. Kilner and Karl J. Friston

Special Section on Network Modeling *

*Modeling Networks from Sampled Data

Mark Stephen Handcock and Krista Jennifer Gile

*Analysis of Correlations Among Size, Rate, and Duration in Internet Flows

Cheolwoo Park, Felix Hernández-Campos, James Steve Marron, Kevin Jeffay, and F. Donelson Smith

*Regularized Multivariate Regression for Identifying Master Predictors with Application to Integrative Genomics Study of Breast Cancer

Jie Peng, Ji Zhu, Anna Bergamaschi, Wonshik Han, Dong-Young Noh, Jonathan Pollack, and Pei Wang

*Optimal Experiment Design in a Filtering Context with Application to Sampled Network Data

Harsh Singhal and George Michailidis

*Estimating Time-Varying Networks

Mladen Kolar, Le Song, Amr Ahmed, and Eric P. Xing

*Hierarchical Relational Models for Document Networks

Jonathan Chang and David M. Blei

*E-Loyalty Networks in Online Auctions

Wolfgang Jank and Inbal Yahav

*A State-Space Mixed Membership Blockmodel for Dynamic Network Tomography

Eric Xing, Wenjie Fu, and Le Song

*Maximum Likelihood Estimation for Social Network Dynamics

Tom A.B. Snijders, Johan Koskinen, and Michael Schweinberger

*Empirical Stationary Correlations for Semi-Supervised Learning on Graphs

Ya Xu, Justin S. Dyer, and Art B. Owen

*Ranking Relations Using Analogies in Biological and Information Networks

Ricardo Silva, Katherine Heller, Zoubin Ghahramani, and Edoardo Airoldi

*Bayesian Anomaly Detection Methods for Social Networks

Nicholas Heard, David Weston, Kiriaki Platanioti, and Hand David
   
 
 

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