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Estimating cellular pathways from an ensemble of heterogeneous data sources

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

Latent Space Models for Multiview Network Data

Michael Salter-Townshend and Tyler McCormick

Space and circular time log Gaussian Cox processes with application to crime event data

Shinichiro Shirota and Alan Enoch Gelfand

Random effects models for identifying the most harmful medication errors in a large, voluntary reporting database

Sergio Venturini, Jessica M. Franklin, Laura Morlock, and Francesca Dominici

Assessing systematic risk in the S&P500 index between 2000 and 2011: A Bayesian nonparametric approach

Abel Rodriguez, Ziwei Wang, and Athanasios Kottas

A Continuous-time Stochastic Block Model for Basketball Networks

Lu Xin, Mu Zhu, and Hugh Chipman

Robust and scalable Bayesian analysis of spatial neural tuning function data

Kamiar Rahnama Rad, Tim Machado, and Liam Paninski

Improving efficiency in biomarker incremental value evaluation under two-phase study designs

Yingye Zheng, Marshall Brown, Anna Lok, and Tianxi Cai

Estimating average causal effects under general interference, with application to a social network experiment

Peter Michael Aronow and Cyrus Samii

Stochastic modelling and inference in electronic hospital databases for the spread of infections: Clostridium difficile transmission in Oxfordshire hospitals 2007-2010

Madeleine Cule and Peter Donnelly

Modeling log-linear conditional probabilities for prediction in surveys

Yves Thibaudeau, Eric V. Slud, and Alfred O. Gottschalk

Photo-z estimation: An example of nonparametric conditional density estimation under selection bias

Rafael Izbicki, Ann B. Lee, and Peter E. Freeman

A Bayesian approach to the global estimation of maternal mortality

Leontine Alkema, Sanqian Zhang, Doris Chou, Alison Gemmill, Ann-Beth Moller, Doris Ma Fat, Colin Mathers, and Daniel Hogan

Hypothesis Testing For Network Data in Functional Neuroimaging

Cedric E Ginestet, Jun Li, Prakash Balanchandran, Steve Rosenberg, and Eric D Kolaczyk

Assignment of endogenous retrovirus integration sites using a mixture model

Le Bao, David R Hunter, and Mary Poss

Structured subcomposition selection in regression and its application to microbiome data analysis

Tao Wang and Hongyu Zhao

Spatial Multiresolution Analysis of the Effect of PM2.5 on Birth Weights

Joseph Antonelli, Joel Schwartz, Itai Kloog, and Brent Coull

Clustering Correlated, Sparse Data Streams to Estimate a Localized Housing Price Index

You Ren, Emily Beth Fox, and Andrew Bruce

Nonparametric estimation of pregnancy outcome probabilities

Sarah Friedrich, Jan Beyersmann, Ursula Winterfeld, Martin Schumacher, and Arthur Allignol

Bayesian inference of high-dimensional, cluster-structured ordinary differential equation models with applications to brain connectivity studies

Tingting Zhang, Qiannan Yin, Brian Caffo, Yinge Sun, and Dana Boatman-Reich

Evaluation of the cooling trend in the ionosphere using functional regression with incomplete curves

Oleksandr Gromenko, Piotr Kokoszka, and Jan Sojka

Vaccines, contagion, and social networks

Elizabeth L. Ogburn, and Tyler J. VanderWeele

Subgroup inference for multiple treatments and multiple endpoints in an Alzheimer's disease treatment trial

Patrick M. Schnell, Qi Tang, Peter Müller, and Bradley P. Carlin

Maximum likelihood features for generative image models

Lo-Bin Chang, Eran Borenstein, Wei Zhang, and Stuart Geman

Quantification of multiple tumor clones using gene array and sequencing data

Yichen Cheng, James Dai, Thomas Paulson, Xiaoyu Wang, Xiaohong Li, Brian Reid, and Charles Kooperberg

Bayesian estimates of astronomical time delays between gravitationally lensed stochastic light curves

Hyungsuk Tak, Kaisey Mandel, David A. van Dyk, Vinay L Kashyap, Xiao-Li Meng, and Aneta Siemiginowska

Comparing healthcare utilization patterns via global differences in the endorsement of Current Procedural Terminology codes

Xu Shi, Hristina Pashova, and Patrick Heagerty

Gaussian process framework for temporal dependence and discrepancy functions in Ricker-type population growth models

Marcelo Hartmann, Geoff Hosack, Richard Hillary, and Jarno Vanhatalo

Generalized Mahalanobis depth in point process and Its application in neural coding

Shuyi Liu and Wei Wu

A semi-parametric method to simulate bivariate space-time extremes

Romain Chailan, Gwladys Toulemonde, and Jean-Noël Bacro

Estimating links of a network from time to event data

Tso-Jung Yen, Zong-Rong Lee, Yi-Hau Chen, Yu-Min Yen, and Jing-Shiang Hwang

Integrative sparse k-means with overlapping group lasso in genomic applications for disease subtype discovery

Zhiguang Huo and George C. Tseng

A variational EM method for mixed membership models with multivariate rank data: An analysis of public policy preferences

Y. Samuel Wang, Ross Matsueda, and Elena A. Erosheva

Multilevel models with stochastic volatility for repeated cross-sections: An application to tribal art prices

Silvia Cagnone, Simone Giannerini, and Lucia Modugno

Flexible risk prediction models for left or interval-censored data from electronic health records

Noorie Hyun, Li C. Cheung, Qing Pan, Mark Schiffman, and Hormuzd A. Katki

Co-evolution of social networks and continuous actor attributes

Nynke Martina Dorende Niezink and Thomas Augustinus Benedictus Snijders

Robust mixed-effects model for clustered failure time data: Application to Huntington's disease event measures

Tanya Pamela Garcia, Yanyuan Ma, Karen Marder, and Yuanjia Wang

Variable selection for a categorical varying-coefficient model with identifications for determinants of body mass index

Jiti Gao, Bin Peng, Zhao Ren, and Xiaohui Zhang

Lateral transfer in stochastic Dollo models

Luke Kelly and Geoff Nicholls

Elicitability and backtesting: Perspectives for banking regulation

Natalia Nolde and Johanna F. Ziegel

A novel and efficient algorithm for de novo discovery of mutated driver pathways

Binghui Liu, Chong Wu, Xiaotong Shen, and Wei Pan

Allele-specific copy number estimation by whole exome sequencing

Hao Chen, Yuchao Jiang, Kara Maxwell, Katherine Nathanson, and Nancy Zhang

Latent class modeling using matrix covariates with application to identifying early placebo responders based on EEG signals

Bei Jiang, Eva Petkova, Thaddeus Tarpey, and R. Todd Ogden

A multi-state conditional logistic regression model for the analysis of animal movement

Aurélien Nicosia, Thierry Duchesne, Louis-Paul Rivest, and Daniel Fortin

Bayesian large-scale multiple regression with summary statistics from genome-wide association studies

Xiang Zhu and Matthew Stephens

Modeling CD4+ T cells dynamics in HIV-infected patients receiving repeated cycles of exogenous Interleukin 7

Ana Jarne, Daniel Commenges, Laura Villain, Mélanie Prague, Yves Lévy, and Rodolphe Thiébaut

What can be learned from a simple table? Bayesian inference and sensitivity analysis for causal effects from 2 x 2 tables in the presence of unmeasured confounding

Luke Keele and Kevin Quinn

Dynamic mixtures of factor analyzers to characterize multivariate air pollutant exposures

Antonello Maruotti, Jan Bulla, Francesco Lagona, Marco Picone, and Francesca Martella

Dynamic prediction of disease progression for leukemia patients by functional principal component analysis of longitudinal expression levels of an oncogene

Fangrong Yan, Xiao Lin, and Xuelin Huang

Model-based clustering with data correction for removing artifacts in gene expression data

William Chad Young, Adrian E. Raftery, and Ka Yee Yeung

A unified framework for variance component estimation with summary statistics in genome-wide association studies

Xiang Zhou

Shape-constrained uncertainty quantification in unfolding steeply falling elementary particle spectra

Mikael Kuusela and Philip Bradford Stark

Towards Bayesian inference of the spatial distribution of proteins from three-cube Förster resonance energy transfer data

Jan-Otto Hooghoudt, Margarida Barroso, and Rasmus Waagepetersen

Integrative exploration of large high-dimensional datasets

Christopher Pardy, Sally Galbraith, and Susan R. Wilson

Biomarker change point estimation with right censoring in longitudinal studies

Xiaoying Tang, Michael I. Miller, and Laurent Younes

Doubly robust estimation of optimal treatment regimes for survival data

Runchao Jiang, Wenbin Lu, Rui Song, Michael G. Hudgens, and Sonia Naprvavnik

The problem of infra-marginality in outcome tests for discrimination

Camelia Simoiu, Sam Corbett-Davies, and Sharad Goel

Dynamic prediction for multiple repeated measures and event time data: An application to Parkinson's disease

Jue Wang, Sheng Luo, and Liang Li

Photodegradation modeling based on laboratory accelerated test data and predictions under outdoor weathering for polymeric materials

Yuanyuan Duan, Yili Hong, William Q. Meeker, Deborah L. Stanley, and Xiaohong Gu

Variable selection for latent class analysis with application to low back pain diagnosis

Michael Fop, Keith M. Smart, and Thomas Brendan Murphy

Testing high dimensional covariance matrices, with application to detecting schizophrenia risk genes

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

Inference for respondent-driven sampling with misclassification

Isabelle S. Beaudry, Krista J. Gile, and Shruti H. Mehta

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