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Estimating cellular pathways from an ensemble of heterogeneous data sources

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

Assessing differences in legislators' revealed preferences: A case study on the 107th U.S. Senate

Chelsea Loomis Lofland, Abel Rodriguez, and Scott Moser

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

Randomization inference for stepped-wedge cluster-randomized trials: An application to community-based health insurance

Xinyao Ji, Dylan Small, Gunther Fink, and Paul Jacob Robyn

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

Modelling individual migration patterns using a Bayesian nonparametric approach for capture-recapture data

Eleni Matechou and François Caron

Gene network reconstruction using global-local shrinkage priors

Gwenaël G. R. Leday, Mathisca C. M. de Gunst, Gino B. Kpogbezan, Aad W. van der Vaart, Wessel N. van Wieringen, and Mark A. van de Wiel

Multivariate spatial mapping of soil water holding capacity with spatially varying cross-correlations

Rachel Marie Messick, Matthew J. Heaton, and Neil Hansen

Covariate-adaptive Clustering of Exposures for Air Pollution Epidemiology Cohorts

Joshua P Keller, Mathias Drton, Timothy Larson, Joel D Kaufman, Dale P Sandler, and Adam A Szpiro

A Continuous-time Stochastic Block Model for Basketball Networks

Lu Xin, Mu Zhu, and Hugh Chipman

A mixed-effects model for incomplete data from labelling-based quantitative proteomics experiments

Lin S. Chen, Jiebiao Wang, Xianlong Wang, and Pei Wang

Static and Roving Sensor Data Fusion for Spatio-Temporal Hazard Mapping with Application to Occupational Exposure Assessment

Guilherme Ludwig, Tingjin Chu, Jun Zhu, Haonan Wang, and Kirsten Koehler

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

A statistical framework for data integration through graphical models with application to cancer genomics

Yuping Zhang, Zhengqing Ouyang, and Hongyu Zhao

A Penalized Cox Proportional Hazards Model with Multiple Time-varying Exposures

Chenkun Wang, Hai Liu, and Sujuan Gao

Forecasting Seasonal Influenza with a State-Space Sir Model

Dave Osthus, Kyle Hickmann, Petrutza Caragea, Dave Higdon, and Sara Del Valle

Sensitivity Analysis for an Unobserved Moderator in RCT-to-Target-Population Generalization of Treatment Effects

Trang Quynh Nguyen, Cyrus Ebnesajjad, Stephen R. Cole, and Elizabeth A. Stuart

Electricity price dependence in New York State zones: A robust detrended correlation approach

Debbie Dupuis

Partially time-varying coefficient proportional hazards models with error prone time-dependent covariates - An application to the AIDS Clinical Trial Group 175 data

Xiao Song and Li Wang

Functional Time Series Models for Ultrafine Particle Distributions

Heidi J. Fischer, Qunfang Zhang, Yifang Zhu, and Robert E. Weiss

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

Peter Michael Aronow and Cyrus Samii

Efficient estimation of age-specific social contact rates between men and women

Jan Van de Kassteele, Jan Van Eijkeren, and Jacco Wallinga

Biomass prediction using a density-dependent diameter distribution model

Erin M. Schliep, Alan E. Gelfand, James S. Clark, and Bradley J. Tomasek

A multivariate mixed hidden Markov model for blue whale behaviour and responses to sound exposure

Stacy L. DeRuiter, Roland Langrock, Tomas Skirbutas, Jeremy A. Goldbogen, John Calambokidis, Ari S. Friedlaender, and Brandon L. Southall

Bayesian non-homogeneous Markov models via Polya-Gamma data augmentation with applications to rainfall modeling

Tracy Holsclaw, Arthur M. Greene, Andrew W. Robertson, and Padhraic Smyth

Inference for Social Network Models from Egocentrically-Sampled Data, with Application to Understanding Persistent Racial Disparities in HIV Prevalence in the US

Pavel N. Krivitsky and Martina Morris

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
   
 
 

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