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Estimating Population Size Using the Network Scale Up Method

Rachael Maltiel, Adrian E. Raftery, and Tyler H. McCormick

A Bayesian hierarchical model for inferring player strategy types in a number guessing game

P. Richard Hahn, Indranil Goswami, and Carl Mela

Distributed Multinomial Regression

Matt Taddy

A Bayesian spatiotemporal model for reconstructing climate from multiple pollen records

Lasse Holmström, Liisa Ilvonen, Heikki Seppä, and Siim Veski

Inferring Constructs of Effective Teaching from Classroom Observations: An Application of Bayesian Exploratory Factor Analysis Without Restrictions

J.R. Lockwood, Terrance D. Savitsky, and Daniel F. McCaffrey

Vertex Nomination Schemes for Membership Prediction

Carey E. Priebe

Bayesian Motion Estimation for Dust Aerosols

Fabian E Bachl, Alex Lenkoski, Thordis L Thorarinsdottir, and Christoph S Garbe

Using Somatic Mutation Data To Test Tumors For Clonal Relatedness

Irina Ostrovnaya, Venkatraman E Seshan, and Colin B Begg

Regularized brain reading with shrinkage and smoothing

Leila Wehbe, Aaditya Ramdas, Rebecca C. Steorts, and Cosma Rohilla Shalizi

Population counts along elliptical habitat contours: hierarchical modelling using Poisson-lognormal mixtures with nonstationary spatial structure

Alexandra M Schmidt, Marco A Rodriguez, and Estelina S Capistrano

Multilinear tensor regression for longitudinal relational data

Peter Hoff

Combining nonexchangeable functional or survival data sources in oncology using generalized mixture commensurate priors

Thomas A Murray, Brian P Hobbs, and Bradley P Carlin

Quantile Regression for Mixed Models

Luke B. Smith, Brian J. Reich, Penny Gordon-Larsen, and Montserrat Fuentes

SLOPE -- Adaptive Variable Selection via Convex Optimization

Malgorzata Bogdan, Ewout van den Berg, Chiara Sabatti, Weijie Su, and Emmanuel Jean Candes

Probabilistic Wind Speed Forecasting on a Grid Based on Ensemble Model Output Statistics

Michael Scheuerer and David Möller

Network Assisted Analysis to Reveal the Genetic Basis of Autism

Li Liu, Jing Lei, and Kathryn Roeder

A Bayesian approach to the evaluation of risk-based microbiological criteria for Campylobacter in broiler meat

Jukka Ranta, Roland Lindqvist, Ingrid Hansson, Pirkko Tuominen, and Maarten Nauta

Bayesian Analysis of Ambulatory Blood Pressure Dynamics with Application to Irregularly Spaced Sparse Data

Zhaohua Lu, Sy-mii Chow, Andrew Sherwood, and Hongtu Zhu

A new framework for Euclidean summary statistics in neural spike train space

Sergiusz Wesolowski, Robert J. Contreras, and Wei Wu

Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, and David Madigan

Sequential Advantage Selection for Optimal Treatment Regimes

Ailin Fan, Wenbin Lu, and Rui Song

Calibrating a large computer experiment simulating radiative shock hydrodynamics

Robert B Gramacy, Derek Bingham, James Paul Holloway, Michael J. Grosskopf, Carolyn C. Kuranz, Erica Rutter, Matt Trantham, and Paul R. Drake

Nonparametric Multi-level Clustering of Human Epilepsy Seizures

Drausin Wulsin, Shane T. Jensen, and Brian Litt

Joint Modeling of Longitudinal Drug Using Pattern and Time to First Relapse in Cocaine Dependence Treatment Data

Jun Ye, Yehua Li, and Yongtao Guan

Bayesian Analysis of Traffic Flow on Interstate I-55: The LWR Model

Nicholas Polson and Vadim Sokolov

The Gibbs-plaid Biclustering Model

Thierry Chekouo, Alejandro Murua, and Wolfgang Raffelsberger

Quantifying alternative splicing from paired-end RNA-sequencing data

David Rossell

A new set of asymmetric filters for tracking the short-term trend in real time

Estela Bee Dagum and Silvia Bianconcini

Statistical unfolding of elementary particle spectra: Empirical Bayes estimation and bias-corrected uncertainty quantification

Mikael Kuusela and Victor Michael Panaretos

Analysis of Multiview Legislative Networks with Structured Matrix Factorization: Does Twitter Influence Translate to the Real World?

Shawn Mankad and George Michailidis

The Latent State Hazard Model, with Application to Wind Turbine Reliability

Ramin Moghaddass and Cynthia Rudin

On the Analysis of Tuberculosis Studies with Intermittent Missing Sputum Data

Daniel Scharfstein, Andrea Rotnitzky, Maria Abraham, Aidan McDermott, Richard Chaissson, and Lawrence Geiter
   
 
 

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