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Next Issues

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Estimating heterogeneous graphical models for discrete data with an application to roll call voting

Jian Guo, Jie Chengy, Elizaveta Levina, George Michailidis, and Ji Zhu

Convex hierarchical testing of interactions

Jacob Bien, Noah Simon, and Rob Tibshirani

A Two-State Mixed Hidden Markov Model for Risky Teenage Driving Behavior

John Jackson, Paul Albert, and Zhang Zhiwei

Wavelet-based genetic association analysis of functional phenotypes arising from high-throughput sequencing assays

Heejung Shim and Matthew Stephens

A multi-functional analyzer uses parameter constraints to improve the efficiency of model-based gene-set analysis

Zhishi Wang, Qiuling He, Bret Larget, and Michael A Newton

Ensembling Classification Models Based on Phalanxes of Variables with Applications in Drug Discovery

Jabed Tomal, William Welch, and Ruben Zamar

Inferring causal impact using Bayesian structural time-series models

Kay H. Brodersen, Fabian Gallusser, Jim Koehler, Nicolas Remy, and Steven L. Scott

Reactive Point Processes: A New Approach to Predicting Power Failures in Underground Electrical Systems

Seyda Ertekin, Cynthia Rudin, and Tyler McCormick

Zero-Inflation in Clustered Binary Response Data: Mixed Model and Estimating Equation Approaches

Kara A Fulton, Danping Liu, Denise L Haynie, and Paul S Albert

Inferring gene-gene interactions and functional modules using sparse canonical correlation analysis

Y.X. Rachel Wang, Keni Jiang, Lewis J. Feldman, Peter J. Bickel, and Haiyan Huang

Modelling county level breast cancer survival data using a covariate-adjusted frailty PH model

Haiming Zhou, Timothy Hanson, Alejandro Jara, and Jiajia Zhang

Statistical paleoclimate reconstructions via Markov random fields

Dominique Guillot, Bala Rajaratnam, and Julien Emile-Geay

Estimating the Relative Rate of Recombination to Mutation in Bacteria from Single-Locus Variants using Composite Likelihood Methods

Paul Fearnhead, Shoukai Yu, Patrick Biggs, Barbara Holland, and Nigel French

Modeling for Seasonal Marked Point Processes: An Analysis of Evolving Hurricane Occurrences

Sai Xiao, Athanasios Kottas, and Bruno Sanso

A Bayesian regression tree approach to identify the effect of nanoparticles' properties on toxicity profiles

Cecile Low-Kam, Donatello Telesca, Zhaoxia Ji, Haiyuan Zhang, Tian Xia, Jeffrey I. Zink, and Andre E. Nel

Bayesian Nonparametric Cross-Study Validation of Prediction Methods

Lorenzo Trippa, Levi Waldron, Curtis Huttenower, and Giovanni Parmigiani

Characterizing the Spatial Structure of Defensive Skill in Professional Basketball

Alexander Franks and Andrew Miller

Estimating Network Degree Distributions Under Sampling: An Inverse Problem, with Applications to Monitoring Social Media Networks

Yaonan Zhang, Eric D. Kolaczyk, and Bruce D. Spencer

Bayesian binomial mixture models for estimating abundance in ecological monitoring studies

Guohui Wu, Scott H. Holan, Charles H. Nilon, and Christopher K. Wikle

A Markov Random Field-Based Approach to Characterizing Human Brain Development Using Spatial-Temporal Transcriptome Data

Zhixiang Lin, Stephan J. Sanders, Mingfeng Li, Nenad Sestan, Matthew W. State, and Hongyu Zhao

Continuous-time discrete-space models for animal movement

Ephraim M. Hanks, Mevin B. Hooten, and Mat W. Alldredge

A Two-Step Approach to Model Precipitation Extremes in California Based on Max-Stable and Marginal Point Processes

Hongwei Shang, Jun Yan, and Xuebin Zhang

Network Tomography for Integer-Valued Traffic

Martin Luke Hazelton

Inferring network structure from interventional time-course experiments

Simon Edward Frank Spencer, Steven M Hill, and Sach Mukherjee

Bayesian nonparametric disclosure risk estimation via mixed effects log-linear models

Cinzia Carota, Maurizio Filippone, Roberto Leombruni, and Silvia Polettini

Bayesian Group LASSO for Nonparametric Varying-Coefficient Models with Application to Functional Genome-Wide Association Studies

Rongling Wu

Sex, lies and self-reported counts: Bayesian mixture models for heaping in longitudinal count data via birth-death processes

Forrest W. Crawford, Robert E. Weiss, and Marc A. Suchard

Semi-Parametric Time to Event Models in the Presence of Error-Prone, Self-Reported Outcomes - With Application to the Women's Health Initiative

Xiangdong Gu, Yunsheng Ma, and Raji Balasubramanian

Regression based principal component analysis for sparse functional data with applications to screening growth paths

Wenfei Zhang and Ying Wei

Weakly Supervised Clustering: Learning Fine-Grained Signals from Coarse Labels

Stefan Wager, Alexander Blocker, and Niall Cardin

Multi-Species Distribution Modeling Using Penalized Mixture of Regressions

Francis Hui, David Warton, and Scott Foster

Jump Detection in Generalized Error-in-Variables Regression with an Application to Australian Health Tax Policies

Yicheng Kang, Xiaodong Gong, Jiti Gao, and Peihua Qiu

HMMSEQ: A Hidden Markov Model for Detecting Differentially Expressed Genes from RNA-SEQ Data

Shiqi Cui, Subharup Guha, Marco A. R. Ferreira, and Allison N. Tegge

Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data

Laura Anderlucci and Cinzia Viroli

A Bayesian Feature Allocation Model for Tumor Heterogeneity

Juhee Lee, Peter Mueller, Kamalakar Gulukota, and Yuan Ji
   
 
 

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