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Next Issues

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Introduction to "Co-authorship and citation networks for statisticians"

Bernard W. Silverman

Co-authorship and citation networks for statisticians

Jiashun Jin and Pengsheng Ji

Discussion of "Co-authorship and citation networks for statisticians"

Abel Rodriguez, Pedro Regueiro, and Juan Camilo Sosa

Discussion of "Co-authorship and citation networks for statisticians"

Song Wang and Karl Rohe

Discussion of "Co-authorship and citation networks for statisticians"

Vishesh Karwa and Sonja Petrovic

Discussion of "Co-authorship and citation networks for statisticians"

Mladen Kolar and Matt Taddy

Discussion of "Co-authorship and citation networks for statisticians"

Forrest W. Crawford

Rejoinder: "Co-authorship and citation networks for statisticians"

Jiashun Jin and Pengsheng Ji

Estimating cellular pathways from an ensemble of heterogeneous data sources

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

Categorical Data Fusion Using Auxiliary Information

Bailey K Fosdick, Maria DeYoreo, and Jerome P Reiter

Investigating differences in brain functional networks using hierarchical covariate-adjusted independent component analysis

Ran Shi and Ying Guo

Linking lung airway structure to pulmonary function via composite bridge regression

Kun Chen, Eric Hoffman, Indu Seetharaman, Feiran Jiao, Ching-Long Lin, and Kung-Sik Chan

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

Improving covariate balance in 2^K factorial designs via rerandomization with an application to a New York City Department of Education High School Study

Zach Branson, Tirthankar Dasgupta, and Donald B. Rubin

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

Shinichiro Shirota and Alan Enoch Gelfand

Predicting Melbourne ambulance demand using kernel warping

Zhengyi Zhou and David S. Matteson

Maximizing the Information Content of a Balanced Matched Sample in a Study of the Economic Performance of Green Buildings

Cinar Kilcioglu and Jose R Zubizarreta

Modeling Concurrency and Selective Mixing in Heterosexual Partnership Networks with Applications to Sexually Transmitted Diseases

Ryan Admiraal and Mark S. Handcock

Inferring rooted population trees using asymmetric neighbor joining

Yongliang Zhai and Alexandre Bouchard-Côté

Modelling the effects of the El Nino-Southern Oscillation on extreme spatial temperature events over Australia

Hugo Charles Winter, Jonathan Tawn, and Simon Brown

Change Points Detection and Identification of Chromosome Copy Number Variations in Multiple Sequences

Chi Song, Xiaoyi Min, and Heping Zhang

Cox regression with exclusion frequency-based weights to identify neuroimaging markers relevant to Huntington's disease onset

Tanya Pamela Garcia and Samuel Mueller

Bayesian Nonparameteric Multiresolution Estimation for the American Community Survey

Terrance D Savitsky

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

Dynamic social networks based on movement

Henry R. Scharf, Mevin B. Hooten, Bailey K. Fosdick, Devin S. Johnson, Josh M. London, and John W. Durban

Locally Adaptive Dynamic Networks

Daniele Durante and David B. Dunson

Estimating odds ratios under a case-background design with an application to a study of Sorafenib accessibility

John H Spivack and Bin Cheng

A Statistical Model to Assess (Allele-Specific) Associations between Gene Expression and Epigenetic Marks using Sequencing Data

Rashid Naim, Wei Sun, and Joseph G Ibrahim

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

Smooth Principal Component Analysis over two-dimensional manifolds with an application to Neuroimaging

Eardi Lila, John A D Aston, and Laura M Sangalli

Improving ice sheet model calibration using paleoclimate and modern data

Won Chang, Murali Haran, Patrick Applegate, and David Pollard

Bayesian inference for the Brown-Resnick process, with an application to extreme low temperatures

Emeric Thibaud, Juha Aalto, Daniel S. Cooley, Anthony C. Davison, and Juha Heikkinen

A lag functional linear model for prediction of magnetization transfer ratio in multiple sclerosis lesions

Gina-Maria Pomann, Ana-Maria Staicu, Edgar J. Lobaton, Amanda F. Mejia, Blake E. Dewey, Daniel S. Reich, Elizabeth J. Sweeney, and Russell T. Shinohara

Bootstrap aggregating continual reassessment method for dose finding in drug-combination trials

Ruitao Lin and Guosheng Yin

A phylogenetic latent feature model for clonal deconvolution

Francesco Marass, Florent Mouliere, Ke Yuan, Nitzan Rosenfeld, and Florian Markowetz

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

Abel Rodriguez, Ziwei Wang, and Athanasios Kottas

Exploiting TIMSS and PIRLS combined data: Multivariate multilevel modelling of student achievement

Fulvia Pennoni, Leonardo Grilli, Carla Rampichini, and Isabella Romeo

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

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