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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
When should modes of inference disagree? Some simple but challenging examples Donald A. S. Fraser, Nancy Reid, and Wei Lin
Statistical paradises and paradoxes in Big Data (I): Law of large populations, Big Data paradox, and 2016 US presidential election Xiao-Li Meng
Loglinear model selection and human mobility Adrian Dobra and Abdolreza Mohammadi
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example Yen-Chi Chen, Y. Samuel Wang, and Elena A. Erosheva
Providing accurate models across private partitioned data: Secure maximum likelihood estimation Joshua Snoke, Timothy R. Brick, Aleksandra Slavkovic, and Michael D. Hunter
Clustering the prevalence of pediatric chronic conditions in the United States using distributed computing Yuchen Zheng and Nicoleta Serban
Estimating large correlation matrices for international migration Jonathan Jerome Azose and Adrian Elmes Raftery
Tracking Network Dynamics: a survey using graph distances Claire Donnat and Susan P. Holmes
Bayesian propagation of record linkage uncertainty into population size estimation of human rights violations Mauricio Sadinle
Statistical modeling and analysis of trace element concentrations in forensic glass evidence Karen Deanna Huang Pan and Karen Kafadar
Unique entity estimation with application to the Syrian conflict Beidi Chen, Anshumali Shrivastava, and Rebecca C. Steorts
The interlocking world of surveys and experiments Stephen E. Fienberg and Judith M. Tanur
Adjusted regularization in latent graphical models: Application to multiple-neuron spike count data Giuseppe Vinci, Valérie Ventura, Matthew A. Smith, and Robert E. Kass
Discovering political topics in Facebook discussion threads with graph contextualization Yilin Zhang, Marie Poux-Berthe, Chris Wells, Karolina Koc-Michalska, and Karl Rohe
Providing access to confidential research data through synthesis and verification: An application to data on employees of the U.S. Federal Government Andrés F. Barrientos, Alexander Bolton, Tom Balmat, Jerome Reiter, John de Figueiredo, Ashwin Machanavajjhala, Yan Chen, Charley Kneifel, and Mark DeLong

Regular Papers

Estimating cellular pathways from an ensemble of heterogeneous data sources Alexander M. Franks, Florian Markowetz, and Edoardo M. Airoldi
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
Robust dependence modeling for high-dimensional covariance matrices with financial applications Zhe Zhu and Roy E. Welsch
Network-based feature screening with applications to genome data Mengyun Wu, Liping Zhu, and Xingdong Feng
Statistical shape analysis of simplified neuronal trees Adam Duncan, Eric Klassen, and Anuj Srivastava
Covariate matching methods for testing and quantifying wind turbine updates Yei Eun Shin, Yu Ding, and Jianhua Huang
Non-stationary modeling of tail dependence of two subjects’ concentration Kshitij Sharma, Valérie Chavez-Demoulin, and Pierre Dillenbourg
A spatially-varying stochastic differential equation model for animal movement James C. Russell, Ephraim M. Hanks, Murali Haran, and David Hughes
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
Tree ensembles with rule structured horseshoe regularization Malte Nalenz and Mattias Villani
Model transfer across additive manufacturing processes via mean effect equivalence of lurking variables Arman Sabbaghi and Qiang Huang
SCALPEL: Extracting neurons from calcium imaging data Ashley Petersen, Noah Simon, and Daniela Witten
Exact spike train inference via ℓ0 optimization Sean W. Jewell and Daniela M. Witten
How often does the best team win? A unified approach to understanding randomness in North American sport Michael J. Lopez, Gregory J. Matthews, and Benjamin S. Baumer
Extending Bayesian structural time-series estimates of causal impact to many-household conservation initiatives Eric Schmitt, Christopher Tull, and Patrick Atwater
A locally adaptive process-convolution model for estimating the health impact of air pollution Duncan Paul Lee
Uncertainty through the lenses of a mixed-frequency Bayesian panel Markov switching model Roberto Casarin, Claudia Foroni, Massimiliano Marcellino, and Francesco Ravazzolo
Disentangling and assessing uncertainties in multiperiod corporate default risk predictions Miao Yuan, Cheng Yong Tang, Yili Hong, and Jian Yang
On the evolution of the UK price distributions Ba Chu, Kim Huynh, David Tomas Jacho-Chavez, and Oleksiy Kryvtsov
Instrumental variable analysis with censored data in the presence of many weak instruments: Application to the effect of being sentenced to prison on time to employment Ashkan Ertefaie, Anh Nguyen, David Harding, Jeffrey Morenoff, and Wei P. Yang
Variational inference for probabilistic Poisson PCA Julien Chiquet, Mahendra Mariadassou, and Stéphane Robin
Split-door criterion: Identification of causal effects through auxiliary outcomes Amit Sharma, Jake Hofman, and Duncan Watts
Epigenome-wide analyses of sparse mediation effects under composite null hypotheses Yen-Tsung Huang
Joint Bayesian semiparametric regression analysis of recurrent adverse events and survival in esophageal cancer patients Juhee Lee, Peter F. Thall, and Steven H. Lin
Ground-level ozone: Evidence of increasing serial dependence in the extremes Debbie J. Dupuis and Luca Trapin
Multilayer Knockoff Filter: Controlled variable selection at multiple resolutions Eugene Katsevich and  Chiara Sabatti
A penalized regression model for the joint estimation of eQTL associations and gene network structure Micol Marchetti-Bowick, Yaoliang Yu, Wei Wu, and Eric Poe Xing
Joint mean and covariance modeling of multiple health outcome measures Xiaoyue Niu and Peter D. Hoff
Bayesian latent hierarchical model for transcriptomic meta-analysis to detect biomarkers with clustered meta-patterns of differential expression signals Zhiguang Huo, Chi Song, and George Tseng
Modeling within-household associations in household panel studies Fiona Steele, Paul Clarke, and Jouni Kuha
A Bayesian race model for response times under cyclic stimulus discriminability Deborah Kunkel, Kevin Potter, Peter F. Craigmile, Mario Peruggia, and Trisha Van Zandt
Common and individual structure of brain networks Lu Wang, Zhengwu Zhang, and David Dunson
Fréchet estimation of time-varying covariance matrices from sparse data, with application to the regional co-evolution of myelination in the developing brain Alexander Petersen, Sean Deoni, and Hans-Georg Müller
The role of mastery learning in intelligent tutoring systems: Principal stratification on a latent variable Adam C. Sales and John F. Pane
Clonality: Point estimation Lu Tian, Yi Liu, Scott Boyd, Andrew Fire, and Richard Olshen
Capturing heterogeneity of covariate effects in hidden subpopulations in the presence of censoring and large number of covariates Farhad Shokoohi, Abbas Khalili, Masoud Asgharian, and Shili Lin
Bayesian analysis of infant’s growth dynamics with in utero exposure to environmental toxicants Jonggyu Baek, Bin Zhu, and Peter X. K. Song