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Refining Genetically Inferred Relationships Using Treelet Covariance Smoothing

Andrew Crossett, Ann Lee, Lambertus Klei, Bernie Devlin, and Kathryn Roeder

Visualizing Genetic Constraints

Travis L. Gaydos, Nancy E. Heckman, Mark Kirkpatrick, J. R. Stinchcombe, Johanna Schmitt, Joel Kingsolver, and J. S. Marron

Hierarchical Bayesian Analysis of Somatic Mutation Data in CancerHierarchical Bayesian Analysis of Somatic Mutation Data in Cancer

Jie Ding, Lorenzo Trippa, Xiaogang Zhong, and Giovanni Parmigiani

Modeling association between DNA copy number and gene expression with constrained piecewise linear regression splines

Gwenaël G. R. Leday, Aad W. van der Vaart, Wessel N. van Wieringen, and Mark A. van de Wiel

Sparse latent factor models with interactions: Analysis of gene expression data

Vinicius Diniz Mayrink and Joseph Edward Lucas

Multiscale Adaptive Smoothing Models for the Hemodynamic Response Function in fMRI

Hongtu Zhu, Japing Wang, Jianqing Fan, Kelly Giovanello, and Weili Lin

Spatially explicit models for inference about density in unmarked or partially-marked populations

Richard Chandler and J. Andrew Royle

Dynamic filtering of static dipoles in magnetoencephalography

Alberto Sorrentino, Adam M. Johansen, John A.D. Aston, Thomas E. Nichols, and Wilfrid S. Kendall

The Number of Killings in Rural Norway, 1300-1569

Joseph B. Kadane and Ferdinand L. Naeshagen

Modeling US House Prices by Spatial Dynamic Structural Equation Models

Pasquale Valentini, Luigi Ippoliti, and Lara Fontanella

Estimating the historical and future probabilities of large terrorist events

Aaron Clauset and Ryan Woodard

Bayesian alignment of similarity shapes

Kanti Mardia, Christopher Fallaize, Stuart Barber, Richard Jackson, and Douglas Theobald

Bayesian object classification of gold nanoparticles

Bledar Konomi, Soma Dhavala, Bani Mallick, Jianhua Huang, Subrata Kundu, David Huitink, Yu Ding, and Hong Liang

Model-based clustering of large networks

Duy Vu, David R. Hunter, and Michael Schweinberger

Model trees with topic model pre-processing: An approach for data journalism illustrated with the WikiLeaks Afghanistan War Logs

Thomas Rusch, Paul Hofmarcher, Reinhold Hatzinger, and Kurt Hornik

Testing the isotropy of high energy cosmic rays using spherical needlets

Gilles Fa˙, Jacques Delabrouille, Gérard Kerkyacharyan, Dominique Picard

Bayesian Non-Parametric Hierarchical Modeling for Multiple Membership Data in Grouped Attendance Interventions

Terrance D Savitsky and Susan M Paddock

A Reference-Invariant Health Disparity Index Based on Rényi Divergence

Makram Talih

Estimating the Occurrence Rate of DNA Palindromes

I-Ping Tu, Shao-Hsuan Wang, and Yuan-Fu Huang

A Bayesian linear model for the high-dimensional inverse problem of seismic tomography

Ran Zhang, Claudia Czado, and Karin Sigloch

Macroeconomic effects on mortality revealed by panel analysis with nonlinear trends

Edward L Ionides, Zhen Wang, and Jose A Tapia Granados

Object-Oriented Bayesian Networks for a Decision Support System for Antitrust Enforcement

Julia Mortera, Paola Vicard, and Cecilia Vergari

Travel Time Estimation for Ambulances using Bayesian Data Augmentation

Bradford S Westgate, Dawn B Woodard, David S Matteson, and Shane G Henderson

Stochastic Approximation of Score Functions for Gaussian Processes

Michael Stein, Jie Chen, and Mihai Anitescu

Extreme value analysis for evaluating ozone control strategies

Brian James Reich, Daniel Cooley, Kristen Foley, Sergey Napelenok, and Benjamin Shaby

Spatial risk mapping for rare disease with hidden Markov fields and variational EM

Florence Forbes, Myriam Charras-Garrido, Lamiae Azizi, Senan Doyle, and David Abrial

Assessing lack of common support in causal inference using Bayesian nonparametrics: implications for evaluating the effect of breastfeeding on children's cognitive outcomes

Jennifer Hill and Yu-Sung Su

Spatio-Temporal Exceedance Locations and Confidence Regions

Joshua French and Stephan Sain

Assessment of Mortgage Default Risk via Bayesian State Space Models

Tevfik Aktekin, Refik Soyer, and Feng Xu

Interpolation of nonstationary high frequency spatial-temporal temperature data

Joseph Guinness and Michael L. Stein

Logistic regression analysis with standardized markers

Ying Huang, Margaret Sullivan Pepe, and Ziding Feng

Learning Local Directed Acyclic Graphs Based On Multivariate Time Series Data

Wanglu Deng, Zhi Geng, and Hongzhe Li

Correcton on Discussion of: Brownian Distance Covariance

Michael R Kosorok

Estimating Restricted Mean Job Tenures in Semi-Competing Risk Data Compensating Victims of Discrimination

Qing Pan and Joseph Lewis Gastwirth

A method for generating realistic correlation matrices

Johanna Hardin, Stephan Ramon Garcia, and David Golan

Latent Protein Trees

Ricardo Henao Giraldo, J. Will Thompson, M. Arthur Moseley, Geoffrey S. Ginsburg, Lawrence Carin, and Joseph E. Lucas

Letter to Editor

Heng Lian

Correction to "Should the Democrats move to the left on economic policy?"

Andrew Gelman

Estimating Daily Nitrogen Dioxide Level: Exploring Traffic Effects

Lixun Zhang, Yongtao Guan, Brian P Leaderer, and Theodore R Holford

Multi-Way Blockmodels for Analyzing Coordinated High-Dimensional Responses

Edoardo M. Airoldi, Xiaopei Wang, and Xiaodong Lin

Maximum Likelihood Estimation of Mark-Recapture-Recovery Models in the Presence of Continuous Covariates

Roland Langrock and Ruth King

Learning a Nonlinear Dynamical System Model of Gene Regulation: A Perturbed Steady-State Approach

Arwen Meister, Ye Li, Bokyung Choi, and Wing Hung Wong

Competing Process Hazard Function Models for Player Ratings in Ice Hockey

A.C. Thomas, Samuel L. Ventura, Shane Jensen, and Stephen Ma

Modeling and estimation of multi-source clustering in crime and security data

George Mohler

Influencing Elections with Statistics: Targeting Voters with Logistic Regression Trees

Thomas Rusch, Ilro Lee, Kurt Hornik, Wolfgang Jank, and Achim Zeileis

Robust regularized singular value decomposition with application to mortality data

Lingsong Zhang, Haipeng Shen, and Jianhua Z. Huang

Bayesian Clustering of Replicated Time-Course Gene Expression Data With Weak Signals

Audrey Qiuyan Fu, Steven Russell, Sarah J. Bray, and Simon Tavaré

Parameter Tuning for a Multi-Fidelity Dynamical Model of the Magnetosphere

William Kleiber, Stephan R Sain, Matthew J Heaton, Michael Wiltberger, C. Shane Reese, and Derek Bingham

Modeling and Forecasting Electricity Spot Prices: A Functional Data Perspective

Dominik Liebl

Local Adaptation and Genetic Effects on Fitness: Calculations for Exponential Family Models with Random Effects

Charles J. Geyer, Caroline E. Ridley, Robert G. Latta, Julie R. Etterson, and Ruth G. Shaw

Multilevel Bayesian Framework for Modeling the Production, Propagation and Detection of Ultra-High Energy Cosmic Rays

Kunlaya Soiaporn, David Chernoff, Thomas Loredo, David Ruppert, and Ira Wasserman

Likelihood reweighting methods to reduce potential bias in noninferiority trials which rely on historical data to make inference

Lei Nie, Zhiwei Zhang, Daniel Rubin, and Jianxiong Chu

Global space-time models for climate ensembles

Stefano Castruccio and Michael Leonard Stein

A decision theoretic approach for segmental classification using Hidden Markov models

Christopher Yau and Chris Holmes

Maximin and Maximin-Efficient Event-Related FMRI Designs Under A Nonlinear Model

Ming-Hung Kao, Dibyen Majumdar, Abhyuday Mandal, and John Stufken

Principal trend analysis for time-course data with applications in genomic medicine

Yuping Zhang and Ronald Davis

An Empirical Bayes Testing Procedure for Detecting Variants in Analysis of Next Generation Sequencing Data

Zhigen Zhao, Wei Wang, and Zhi Wei

Bayesian Data Augmentation Dose Finding with Continual Reassessment Method and Incomplete Observations

Suyu Liu, Guosheng Yin, and Ying Yuan

Penalized estimation in high-dimensional hidden Markov models with state-specific graphical models

Nicolas Städler, Sach Mukherjee

A new class of flexible link functions with application to species co-occurence in Cape floristic region

Xun Jiang, Dipak K Dey, Rachel Prunier, Adam M Wilson, and Kent E Holsinger

Calibrated Imputation of Numerical Data Under Linear Edit Restrictions

Jeroen Pannekoek, Natalie Shlomo, Ton de Waal

Evaluating costs with unmeasured confounding: a sensitivity analysis for the treatment effect

Elizabeth A. Handorf, Justin E. Bekelman, Daniel F. Heitjan, and Nandita Mitra

How Do Heterogeneities in Operating Environments Affect Field Failures Predictions and Test Planning?

Zhisheng Ye, Yili Hong, and Yimeng Xie

Finite-Sample Equivalence in Statistical Models for Presence-Only Data

William Fithian and Trevor Hastie

Bayesian Shrinkage Methods for Partially Observed Data with Many Predictors

Philip S Boonstra, Bhramar Mukherjee, and Jeremy M G Taylor
   
 
 

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