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Estimating heterogeneous graphical models for discrete data with an application to roll call voting

Jian Guo, Jie Chengy, Elizaveta Levina, George Michailidis, and Ji Zhu

Bayesian modeling of bacterial growth for multiple populations

Michael Peter Wiper, Ana Paula Palacios, Juan Miguel Marín, and Emiliano Quinto

Bayesian Sparse Graphical Models for Classification with Application to Protein Expression Data

Veerabhadran Baladandayuthapani, Rajesh Talluri, Yuan Ji, Kevin R Coombes, Bryan T Hennessy, Michael A Davies, and Bani K Mallick

Spatial Accessibility of Pediatric Primary Healthcare: Measurement and Inference

Nicoleta Serban, Mallory Nobles, and Julie Swann

Finding the fulcrum: leverage points for policy interventions in access to primary care

Laura A. Hatfield

Comments on "Spatial Accessibility of Pediatric Primary Healthcare"

Amelia M. Haviland

Thoughts on Spatial Assessment of Healthcare Disparity

Lance A Waller

Editorial: Spatial Accessibility of Pediatric Primary Healthcare

Susan M Paddock

Spatial Accessibility of Pediatric Primary Healthcare: Measurement and Inference

Nicoleta Serban, Mallory Nobles, and Julie Swann

A Generalized Mixed Model Framework for Assessing Fingerprint Individuality in Presence of Varying Image Quality

Sarat C Dass, Chae Young Lim, and Tapabrata Maiti

Nonlinear Predictive Latent Process Models for Integrating Spatio-Temporal Exposure Data from Multiple Sources

Nikolay Bliznyuk, Christopher Paciorek, Joel Schwartz, and Brent Coull

Rank Discriminants for Predicting Phenotypes from RNA Expression

Bahman Afsari, Ulisses Braga Neto, and Donald Geman

Time-warped Growth Processes, with Applications to the Modeling of Boom-bust Cycles in House Prices

Jie Peng, Debashis Paul, and Hans Mueller

A Bayesian Approach for Predicting the Popularity of Tweets

Tauhid Zaman, Emily B. Fox, and Eric T. Bradlow

Joint Modeling of Multiple Time Series via the Beta Process with Application to Motion Capture Segmentation

Emily Beth Fox, Michael C. Hughes, Erik B. Sudderth, and Michael I. Jordan

Power-law models for infectious disease spread

Sebastian Meyer and Leonhard Held

A Location-Mixture Autoregressive Model for Online Forecasting of Lung Tumor Motion

Daniel Cervone, Natesh S. Pillai, Debdeep Pati, Ross Berbeco, and John Henry Lewis

Reducing estimation bias in adaptively changing monitoring networks with preferential site selection

James V Zidek, Gavin Shaddick, and Carolyn G Taylor

Two-Phase Sampling Experiment for Propensity Score Estimation in Self-Selected Samples

Sixia Chen and Jae Kwang Kim

Imputation of truncated p-values for meta-analysis methods and its genomic application

Shaowu Tang, Ying Ding, Etienne Sibille, Jeffrey S Mogil, William R Lariviere, and George C Tseng

Longitudinal High-Dimensional Principal Components Analysis with Application to Diffusion Tensor Imaging of Multiple Sclerosis

Vadim Zipunnikov, Sonja Greven, Haochang Shou, Brian Caffo, Daniel S. Reich, and Ciprian Crainiceanu

Degradation-based Residual Life Prediction Under Different Environments

Rensheng R. Zhou, Nicoleta Serban, and Nagi Gebraeel

Automatic Estimation of Flux Distributions of Astrophysical Source Populations

Raymond K. W. Wong, Paul Baines, Alexander Aue, Thomas C M Lee, and Vinay L. Kashyap

Functional Clustering in Nested Designs: Modeling Variability in Reproductive Epidemiology Studies

Abel Rodriguez and David B. Dunson

On Analysis of Incomplete Field Failure Data

Zhisheng Ye and Hon Keung Tony Ng

Change Points and Temporal Dependence in Reconstructions of Annual Temperature: Did Europe Experience a Little Ice Age?

Morgan Kelly and Cormac O Grada

Modeling the Effect of Temperature on Ozone-Related Mortality

Ander Wilson, Ana G Rappold, Lucas M Neas, and Brian James Reich

Variable Selection Inference for Bayesian Additive Regression Trees

Justin Bleich, Adam Kapelner, Edward I. George, and Shane T. Jensen

Incorporating Geostrophic Wind Information for Improved Space-Time Short-Term Wind Speed Forecasting

Xinxin Zhu, Kenneth Bowman, and Marc Genton

A Bayesian Hierarchical Spatial Point Process Model for Multi-Type Neuroimaging Meta-Analysis

Jian Kang, Thomas E. Nichols, Tor D. Wager, and Timothy D. Johnson

Convex hierarchical testing of interactions

Jacob Bien, Noah Simon, and Rob Tibshirani

Nonstationary Etas Models for Nonstandard Earthquakes

Takao Kumazawa and Yosihiko Ogata

A Testing Based Extraction Algorithm for Identifying Significant Communities in Networks

James David Wilson, Simi Wang, Shankar Bhamidi, Andrew Nobel, and Peter Mucha

Joint Estimation of Multiple Related Biological Networks

Chris J. Oates, Jim Korkola, Joe W. Gray, and Sach Mukherjee

Inference for Deformation and Interference in 3D Printing

Arman Sabbaghi, Tirthankar Dasgupta, Qiang Huang, and Jizhe Zhang

Equivalence Testing for Functional Data with an Application to Comparing Pulmonary Function Devices

Colin Fogarty and Dylan Small

A novel spectral method for inferring general diploid selection from time series genetic data

Matthias Steinrücken, Anand Bhaskar, and Yun S. Song

A Two-State Mixed Hidden Markov Model for Risky Teenage Driving Behavior

John Jackson, Paul Albert, and Zhang Zhiwei

Spatio-temporal modelling of extreme storms

Theodoros Economou, David B. Stephenson, and Christopher A. T. Ferro

Voronoi cell based residual analysis of spatial point process models with applications to Southern California earthquake forecasts

Andrew Bray, Ka Wong, Christopher D. Barr, and Frederic Paik Schoenberg

Global estimation of child mortality using a Bayesian B-spline bias-reduction model

Leontine Alkema and Jin Rou New

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data

Daniel Manrique-Vallier

Isolation in the Construction of Natural Experiments

Jose R Zubizarreta, Dylan S Small, and Paul R Rosenbaum

A Fast Algorithm for Detecting Gene-Gene Interactions in Genome-Wide Association Studies

Jiahan Li, Wei Zhong, Runze Li, and Rongling Wu

A permutational-splitting sample procedure to quantify expert opinion on clusters of chemical compounds using high-dimensional data

Elasma Milanzi, Ariel Alonso, Christophe Buyck, Geert Molenberghs, and Luc Bijnens

The Use of Covariates and Random Effects in Evaluating Predictive Biomarkers under a Potential Outcome Framework

Zhiwei Zhang, Lei Nie, Guoxing Soon, and Aiyi Liu

Evaluating Epoetin Dosing Strategies using Observational Longitudinal Data

Cecilia A Cotton and Patrick J Heagerty

Synthesising evidence to estimate pandemic (2009) A/H1N1 influenza severity in 2009-2011

Anne M Presanis, Richard G Pebody, Paul J Birrell, Brian D M Tom, Helen K Green, Hayley Durnall, Douglas Fleming, and Daniela De Angelis

Wavelet-based genetic association analysis of functional phenotypes arising from high-throughput sequencing assays

Heejung Shim and Matthew Stephens

A multi-functional analyzer uses parameter constraints to improve the efficiency of model-based gene-set analysis

Zhishi Wang, Qiuling He, Bret Larget, and Michael A Newton

Ensembling Classification Models Based on Phalanxes of Variables with Applications in Drug Discovery

Jabed Tomal, William Welch, and Ruben Zamar

Detecting duplicates in a homicide registry using a Bayesian partitioning approach

Mauricio Sadinle

Bayesian Protein Structure Alignment

Abel Rodriguez and Scott C. Schmidler

Functional Response Additive Model Estimation with Online Virtual Stock Markets

Yingying Fan, Natasha Foutz, Gareth James, and Wolfgang Jank

A multiple filter test for the detection of rate changes in renewal processes with varying variance

Michael Messer, Marietta Kirchner, Julia Schiemann, Jochen Roeper, Ralph Neininger, and Gaby Schneider

Probit models for capture-recapture data subject to imperfect detection, individual heterogeneity, and misidentification

Brett T. McClintock, Larissa Bailey, Brian Dreher, and William Link

Do Debit Cards Increase Household Spending? Evidence from a Semiparametric Causal Analysis of a Survey

Andrea Mercatanti and Fan Li

Reconstructing past temperatures from natural proxies and estimated climate forcings using short- and long-memory models

Luis Barboza, Bo Li, Martin P. Tingley, and Frederi Viens

Reduced-rank spatio-temporal modeling of air pollution concentrations in the Multi-Ethnic Study of Atherosclerosis and Air Pollution

Casey Olives, Lianne Sheppard, Johan Lindstrom, Paul D Sampson, Joel D Kaufman, and Adam A Szpiro

Nonparametric Inference in a Stereological Model with Oriented Cylinders Applied to Dual Phase Steel

Kimberly Sue McGarrity, Jilt Sietsma, and Geurt Jongbloed

Inferring causal impact using Bayesian structural time-series models

Kay H. Brodersen, Fabian Gallusser, Jim Koehler, Nicolas Remy, and Steven L. Scott

Reactive Point Processes: A New Approach to Predicting Power Failures in Underground Electrical Systems

Seyda Ertekin, Cynthia Rudin, and Tyler McCormick

Acknowledgment of priority: Usage of the Lambert W function in statistics

Georg Matthias Goerg

Zero-Inflation in Clustered Binary Response Data: Mixed Model and Estimating Equation Approaches

Kara A Fulton, Danping Liu, Denise L Haynie, and Paul S Albert

Inferring gene-gene interactions and functional modules using sparse canonical correlation analysis

Y.X. Rachel Wang, Keni Jiang, Lewis J. Feldman, Peter J. Bickel, and Haiyan Huang

Modelling county level breast cancer survival data using a covariate-adjusted frailty PH model

Haiming Zhou, Timothy Hanson, Alejandro Jara, and Jiajia Zhang

Statistical paleoclimate reconstructions via Markov random fields

Dominique Guillot, Bala Rajaratnam, and Julien Emile-Geay

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