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Special section in memory of Stephen E. Fienberg (1942-2016), AOAS Editor-in-Chief 2013-2015

On Stephen E. Fienberg as a discussant and a friend

Donald B. Rubin

Fingerprint science

Joseph B. Kadane

Hypothesis testing for high-dimensional multinomials: A selective review

Sivaraman Balakrishnan and Larry Wasserman

Regular Papers

Estimating cellular pathways from an ensemble of heterogeneous data sources

Alexander M. Franks, Florian Markowetz, and Edoardo M. Airoldi

Integrative exploration of large high-dimensional datasets

Christopher Pardy, Sally Galbraith, and Susan R. Wilson

A spatio-temporal modeling framework for weather radar image data in tropical Southeast Asia

Xiao Liu, Vik Gopal, and Jayant Kalagnanam

Adjustment of non-confounding covariates in case-control genetic association studies

Hong Zhang, Nilanjan Chatterjee, Daniel Rader, and Jinbo Chen

How Gaussian mixture models might miss detecting factors that impact growth patterns

Brianna Heggeseth and Nicholas Jewell

Extreme value modelling of water-related insurance claims

Christian Rohrbeck, Emma F. Eastoe, Arnoldo Frigessi, and Jonathan A. Tawn

A testing based approach to the discovery of differentially correlated variable sets

Kelly Bodwin, Kai Zhang, and Andrew B. Nobel

Biomarker assessment and combination with differential covariate effects and an unknown gold standard, with an application to Alzheimer's disease

Zheyu Wang and Xiao-Hua Andrew Zhou

A phylogenetic scan test on Dirichlet-tree multinomial model for microbiome data

Yunfan Tang, Li Ma, and Dan Liviu Nicolae

Robust dependence modeling for high-dimensional covariance matrices with financial applications

Zhe Zhu and Roy E. Welsch

Time-varying extreme value dependence with applications to leading European stock markets

Miguel de Carvalho, Daniela Castro, and Jenniffer Wadsworth

Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: A dengue case study

Leah R. Johnson, Robert B. Gramacy, Jeremy Cohen, Erin A. Mordecai, Courtney Murdock, Jason Rohr, Sadie J. Ryan, Anna M. Stewart-Ibarra, and Daniel Weikel

Spatial capture-recapture with partial identity: An application to camera traps

Ben Augustine, J. Andrew Royle, Marcella J. Kelly, Christopher B. Satter, Robert S. Alonso, Erin E. Boydston, and Kevin R. Crooks

Automated threshold selection for extreme value analysis via ordered goodness-of-fit tests with adjustment for false discovery rate

Brian Bader, Jun Yan, and Xuebin Zhang

An empirical study of the maximal and total information coefficients and leading measures of dependence

David N. Reshef, Yakir A. Reshef, Pardis C. Sabeti, and Michael Mitzenmacher

Design of vaccine trials during outbreaks with and without a delayed vaccination comparator

Natalie Exner Dean, M. Elizabeth Halloran, and Ira M. Longini

Two-level structural sparsity regularization for identifying lattices and defects in noisy images

Xin Li, Alex Belianinov, Ondrej Dyck, Stephen Jesse, and Chiwoo Park

Network-based feature screening with applications to genome data

Mengyun Wu, Liping Zhu, and Xingdong Feng

Multivariate integer-valued time series with flexible autocovariances and their application to major hurricane counts

James Livsey, Robert Lund, Stefanos Kechagias, and Vladas Pipiras

Stochastic simulation of predictive space-time scenarios of wind speed using observations and physical model outputs

Julie Bessac, Emil Constantinescu, and Mihai Anitescu

MSIQ: Joint modeling of multiple RNA-seq samples for accurate isoform quantification

Wei Vivian Li, Anqi Zhao, Shihua Zhang, and Jingyi Jessica Li

Covariate balancing propensity score for a continuous treatment: Application to the efficacy of political advertisements

Christian Fong, Chad Hazlett, and Kosuke Imai

Kernel-penalized regression for analysis of microbiome data

Timothy W. Randolph, Sen Zhao, Wade Copeland, Meredith Hullar, and Ali Shojaie

Powerful test based on conditional effects for genome-wide screening

Yaowu Liu and Jun Xie

A multi-resolution model for non-Gaussian random fields on a sphere with application to ionospheric electrostatic potentials

Minjie Fan, Debashis Paul, Thomas C. M. Lee, and Tomoko Matsuo

Reducing storage of global wind ensembles with stochastic generators

Jaehong Jeong, Stefano Castruccio, Paola Crippa, Marc G. Genton

Fast inference of individual admixture coefficients using geographic data

Kevin Caye, Flora Jay, Olivier Michel, and Olivier François

Statistical shape analysis of simplified neuronal trees

Adam Duncan, Eric Klassen, and Anuj Srivastava

Simultaneous modelling of movement, measurement error, and observer dependence in double-observer distance sampling surveys

Paul B. Conn and Ray T. Alisauskas

Covariate matching methods for testing and quantifying wind turbine updates

Yei Eun Shin, Yu Ding, and Jianhua Huang

A unified statistical framework for single cell and bulk RNA sequencing data

Lingxue Zhu, Jing Lei, Bernie Devlin, and Kathryn Roeder

Non-stationary modeling of tail dependence of two subjects' concentration

Kshitij Sharma, Valérie Chavez-Demoulin, and Pierre Dillenbourg

Modeling and estimation for self-exciting spatio-temporal models of terrorist activity

Nicholas J. Clark and Philip M. Dixon

A spatially-varying stochastic differential equation model for animal movement

James C. Russell, Ephraim M. Hanks, Murali Haran, and David Hughes

Empirical assessment of programs to promote collaboration: A network model approach

Katherine R. McLaughlin, and Joshua D. EmBree

Torus principal component analysis with applications to RNA structure

Benjamin Eltzner, Stephan Huckemann, and Kanti V. Mardia

TPRM: Tensor partition regression models with applications in imaging biomarker detection

Hongtu Zhu, Michelle F. Miranda, and Joseph G. Ibrahim

Complex-valued time series modeling for improved activation detection in fMRI studies

Daniel Wright Adrian, Ranjan Maitra, and Daniel B. Rowe

Optimal multilevel matching using network flows: An application to a summer reading intervention

Samuel Pimentel, Lindsay Page, Matthew Lenard, and Luke J. Keele

Topological data analysis of single-trial electroencephalographic signals

Yuan Wang, Hernando Ombao, and Moo K. Chung

Joint significance tests for mediation effects of socioeconomic adversity on adiposity via epigenetics

Yen-Tsung Huang

Adaptive-weight burden test for associations between quantitative traits and genotype data with complex correlations

Xiaowei Wu, Ting Guan, Dajiang J. Liu, Luis G. Leon Novelo, and Dipankar Bandyopadhyay

Bayesian aggregation of average data: An application in drug development

Sebastian Weber, Andrew Gelman, Daniel Lee, Michael Betancourt, Aki Vehtari, and Amy Racine-Poon

BayCount: A Bayesian decomposition method for inferring tumor heterogeneity using RNA-Seq counts

Fangzheng Xie, Mingyuan Zhou, and Yanxun Xu

Exploring the conformational space for protein folding with sequential Monte Carlo

Samuel Wong, Jun S. Liu, and Samuel Kou

Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications

Mar Rodriguez-Girondo, Perttu Salo, Tomasz Burzykowski, Markus Perola, Jeanine Houwing-Duistermaat, and Bart Mertens

Joining the incompatible: Exploiting purposive lists for the sample-based estimation of species richness

Alessandro Chiarucci, Rosa Maria Di Biase, Lorenzo Fattorini, Marzia Marcheselli, and Caterina Pisani

A general framework for association analysis of heterogeneous data

Gen Li and Irina Gaynanova

Confident inference for SNP effects on treatment efficacy

Ying Ding, Ying Grace Li, Yushi Liu, Stephen J. Ruberg, and Jason C. Hsu

Nonparametric Bayesian learning of heterogeneous dynamic transcription factor networks

Xiangyu Luo and Yingying Wei

Estimating and comparing cancer progression risks under varying surveillance protocols

Jane M. Lange, Roman Gulati, Amy S. Leonardson, Daniel W. Lin, Lisa F. Newcomb, Bruce J. Trock, H. Ballentine Carter, Matthew R. Cooperberg, Janet E. Cowan, Lawrence H. Klotz, and Ruth Etzioni

Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering

Sylvia Frühwirth-Schnatter, Stefan Pittner, Andrea Weber, and Rudolf Winter-Ebmer

Using missing types to improve partial identification with application to a study of HIV prevalence in Malawi

Zhichao Jiang and Peng Ding

A coupled ETAS-I2GMM point process with applications to seismic fault detection

Yicheng Cheng, Murat Dundar, and George Mohler

Functional principal variance component testing for a genetic association study of HIV progression

Denis Agniel, Wen Xie, Myron Essex, and Tianxi Cai

Estimating a common covariance matrix for network meta-analysis of gene expression datasets in diffuse large B-cell lymphoma

Anders Ellern Bilgrau, Rasmus Froberg Brøndum, Paul Svante Eriksen, Karen Dybkær, and Martin Bøgsted

Tree-based reinforcement learning for estimating optimal dynamic treatment regimes

Yebin Tao, Lu Wang, and Daniel Almirall

A frequency-calibrated Bayesian search for new particles

Shirin Golchi and Richard A. Lockhart

Bayesian randomized response technique with multiple sensitive attributes: The case of information systems resource misuse

Ray S. W. Chung, Amanda M. Y. Chu, and Mike K. P. So

Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease

Lam Si Tung Ho, Forrest Crawford, and Marc Suchard

Functional emulation of high resolution tsunami modelling over Cascadia

Serge Guillas, Andria Sarri, Simon J. Day, Xiaoyu Liu, and Frederic Dias

Multi-rubric models for ordinal spatial data with application to online ratings data

Antonio Ricardo Linero, Jonathan R. Bradley, and Apurva Desai

The effects of non-ignorable missing data on label-free mass spectrometry proteomics experiments

Jonathon O'Brien, Harsha Gunawardena, Joao Paulo, Xian Chen, Joseph Ibrahim, Steven Gygi, and Bahjat Qaqish

Bottom-up estimation and top-down prediction: Solar energy prediction combining information from multiple sources

Youngdeok Hwang, Siyuan Lu, and Jae Kwang Kim

ePCA: High dimensional exponential family PCA

Lydia T. Liu, Edgar Dobriban, and Amit Singer

Robust randomization-based inference in unmatched clustered randomized trials, with application to the study of teacher and principal performance measurement and feedback intervention

Peng Ding and Luke Keele

Marked self-exciting point process modelling of information diffusion on Twitter

Feng Chen and Wai Hong Tan

Standardization of multivariate Gaussian mixture models and background adjustment of PET images in brain oncology

Meng Li and Armin Schwartzman

Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria

Marko Järvenpää, Michael Gutmann, Aki Vehtari, and Pekka Marttinen

Assessing feasibility of respondent-driven sampling for estimating characteristics in populations of lesbian, gay and bisexual older adults

Maryclare Griffin, Krista J. Gile, Karen I. Fredricksen-Goldsen, Mark S. Handcock, and Elena A. Erosheva

Single stage prediction with embedded topic modeling of online reviews for mobile app management

Shawn Mankad, Shengli Hu, and Anandasivam Gopal

Sensitivity analysis for stratified comparisons in an observational study of the effect of smoking on homocysteine levels

Paul R. Rosenbaum

Variable selection for estimating the optimal treatment regimes in the presence of a large number of covariates

Baqun Zhang and Min Zhang

Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence

Heping Zhang, Dungang Liu, Jiwei Zhao, and Xuan Bi

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