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Next Issues

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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

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

Unique entity estimation with application to the Syrian conflict

Beidi Chen, Anshumali Shrivastava, and Rebecca C. Steorts

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

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