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Next Issues

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Elicitability and backtesting: Perspectives for banking regulation

Natalia Nolde and Johanna F. Ziegel

Discussion of "Elicitability and backtesting: Perspectives for banking regulation"

Hajo Holzmann and Bernhard Klar

Discussion of "Elicitability and backtesting: Perspectives for banking regulation"

Patrick Schmidt

Discussion of "Elicitability and backtesting: Perspectives for banking regulation"

Mark H. A. Davis

Discussion of "Elicitability and backtesting: Perspectives for banking regulation"

Chen Zhou

Discussion of "Elicitability and backtesting: Perspectives for banking regulation"

Marie Kratz

Elicitability and backtesting: Perspectives for banking regulation

Natalia Nolde and Johanna F. Ziegel

Estimating cellular pathways from an ensemble of heterogeneous data sources

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

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

Peter Michael Aronow and Cyrus Samii

Co-evolution of social networks and continuous actor attributes

Nynke M. D. Niezink and Tom A. B. Snijders

What can be learned from a simple table? Bayesian inference and sensitivity analysis for causal effects from 2 x 2 tables in the presence of unmeasured confounding

Luke Keele and Kevin Quinn

Model-based clustering with data correction for removing artifacts in gene expression data

William Chad Young, Adrian E. Raftery, and Ka Yee Yeung

A unified framework for variance component estimation with summary statistics in genome-wide association studies

Xiang Zhou

Integrative exploration of large high-dimensional datasets

Christopher Pardy, Sally Galbraith, and Susan R. Wilson

Photodegradation modeling based on laboratory accelerated test data and predictions under outdoor weathering for polymeric materials

Yuanyuan Duan, Yili Hong, William Q. Meeker, Deborah L. Stanley, and Xiaohong Gu

Variable selection for latent class analysis with application to low back pain diagnosis

Michael Fop, Keith M. Smart, and Thomas Brendan Murphy

Inference for respondent-driven sampling with misclassification

Isabelle S. Beaudry, Krista J. Gile, and Shruti H. Mehta

A spatio-temporal modeling framework for weather radar image data in tropical Southeast Asia

Xiao Liu, Vik Gopal, and Jayant Kalagnanam

Adjustment of non-confounding covariates in case-control genetic association studies

Hong Zhang, Nilanjan Chatterjee, Daniel Rader, and Jinbo Chen

How Gaussian mixture models might miss detecting factors that impact growth patterns

Brianna Heggeseth and Nicholas Jewell

Learning population and subject-specific brain connectivity networks via mixed neighborhood selection

Ricardo Pio Monti, Christoforos Anagnostopoulos, and Giovanni Montana

Multivariate spatiotemporal modeling of age-specific stroke mortality

Harrison Quick, Lance Waller, and Michele Casper

A random-effects hurdle model for predicting bycatch of endangered marine species

Eva Cantoni, Joanna Mills Flemming, and Alan H. Welsh

Empirical Bayesian analysis of simultaneous changepoints in multiple data sequences

Zhou Fan and Lester Mackey

Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks

Linda Siew Li Tan, Ajay Jasra, Maria De Iorio, and Timothy Ebbels

Semi-parametric covariate-modulated local false discovery rate for genome-wide association studies

Rong W. Zablocki, Richard A. Levine, Andrew J. Schork, Shujing Xu, Yunpeng Wang, Chun C. Fan, and Wesley K. Thompson

Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales

Yuan Yuan, Fabian E. Bachl, Finn Lindgren, David L. Borchers, Janine B. Illian, Stephen T. Buckland, Håvard Rue, and Tim Gerrodette

Modeling node incentives in directed networks

Deepayan Chakrabarti

Automatic matching of bullet land impressions

Eric Riemer Hare, Heike Hofmann, and Alicia Carriquiry

Extreme value modelling of water-related insurance claims

Christian Rohrbeck, Emma F. Eastoe, Arnoldo Frigessi, and Jonathan A. Tawn

Estimating the number of casualties in the American Indian war: A Bayesian analysis using the power law distribution

Colin Gillespie

A testing based approach to the discovery of differentially correlated variable sets

Kelly Bodwin, Kai Zhang, and Andrew B. Nobel

Statistical downscaling for future extreme wave heights in the North Sea

Ross Paul Towe, Emma Frances Eastoe, Jonathan Angus Tawn, and Philip Jonathan

Biomarker assessment and combination with differential covariate effects and an unknown gold standard, with an application to Alzheimer's disease

Zheyu Wang and Xiao-Hua Andrew Zhou

A phylogenetic scan test on Dirichlet-tree multinomial model for microbiome data

Yunfan Tang, Li Ma, and Dan Liviu Nicolae

Robust dependence modeling for high-dimensional covariance matrices with financial applications

Zhe Zhu and Roy E. Welsch

Focusing on regions of interest in forecast evaluation

Hajo Holzmann and Bernhard Klar

Time-varying extreme value dependence with applications to leading European stock markets

Miguel de Carvalho, Daniela Castro, and Jenniffer Wadsworth

Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: A dengue case study

Leah R. Johnson, Robert B. Gramacy, Jeremy Cohen, Erin A. Mordecai, Courtney Murdock, Jason Rohr, Sadie J. Ryan, Anna M. Stewart-Ibarra, and Daniel Weikel

Spatial capture-recapture with partial identity: An application to camera traps

Ben Augustine, J. Andrew Royle, Marcella J. Kelly, Christopher B. Satter, Robert S. Alonso, Erin E. Boydston, and Kevin R. Crooks

Automated threshold selection for extreme value analysis via ordered goodness-of-fit tests with adjustment for false discovery rate

Brian Bader, Jun Yan, and Xuebin Zhang

An empirical study of the maximal and total information coefficients and leading measures of dependence

David N. Reshef, Yakir A. Reshef, Pardis C. Sabeti, and Michael Mitzenmacher

Design of vaccine trials during outbreaks with and without a delayed vaccination comparator

Natalie Exner Dean, M. Elizabeth Halloran, and Ira M. Longini

Two-level structural sparsity regularization for identifying lattices and defects in noisy images

Xin Li, Alex Belianinov, Ondrej Dyck, Stephen Jesse, and Chiwoo Park

Network-based feature screening with applications to genome data

Mengyun Wu, Liping Zhu, and Xingdong Feng

Multivariate integer-valued time series with flexible autocovariances and their application to major hurricane counts

James Livsey, Robert Lund, Stefanos Kechagias, and Vladas Pipiras

Stochastic simulation of predictive space-time scenarios of wind speed using observations and physical model outputs

Julie Bessac, Emil Constantinescu, and Mihai Anitescu

MSIQ: Joint modeling of multiple RNA-seq samples for accurate isoform quantification

Wei Vivian Li, Anqi Zhao, Shihua Zhang, and Jingyi Jessica Li

Covariate balancing propensity score for a continuous treatment: Application to the efficacy of political advertisements

Christian Fong, Chad Hazlett, and Kosuke Imai

Kernel-penalized regression for analysis of microbiome data

Timothy W. Randolph, Sen Zhao, Wade Copeland, Meredith Hullar, and Ali Shojaie

Powerful test based on conditional effects for genome-wide screening

Yaowu Liu and Jun Xie

A multi-resolution model for non-Gaussian random fields on a sphere with application to ionospheric electrostatic potentials

Minjie Fan, Debashis Paul, Thomas C. M. Lee, and Tomoko Matsuo

Reducing storage of global wind ensembles with stochastic generators

Jaehong Jeong, Stefano Castruccio, Paola Crippa, Marc G. Genton

Fast inference of individual admixture coefficients using geographic data

Kevin Caye, Flora Jay, Olivier Michel, and Olivier François

Statistical shape analysis of simplified neuronal trees

Adam Duncan, Eric Klassen, and Anuj Srivastava

Simultaneous modelling of movement, measurement error, and observer dependence in double-observer distance sampling surveys

Paul B. Conn and Ray T. Alisauskas

Covariate matching methods for testing and quantifying wind turbine updates

Yei Eun Shin, Yu Ding, and Jianhua Huang

A unified statistical framework for single cell and bulk RNA sequencing data

Lingxue Zhu, Jing Lei, Bernie Devlin, and Kathryn Roeder

Non-stationary modeling of tail dependence of two subjects' concentration

Kshitij Sharma, Valérie Chavez-Demoulin, and Pierre Dillenbourg

Modeling and estimation for self-exciting spatio-temporal models of terrorist activity

Nicholas J. Clark and Philip M. Dixon

A spatially-varying stochastic differential equation model for animal movement

James C. Russell, Ephraim M. Hanks, Murali Haran, and David Hughes

Empirical assessment of programs to promote collaboration: A network model approach

Katherine R. McLaughlin, and Joshua D. EmBree

Torus principal component analysis with applications to RNA structure

Benjamin Eltzner, Stephan Huckemann, and Kanti V. Mardia

TPRM: Tensor partition regression models with applications in imaging biomarker detection

Hongtu Zhu, Michelle F. Miranda, and Joseph G. Ibrahim

Complex-valued time series modeling for improved activation detection in fMRI studies

Daniel Wright Adrian, Ranjan Maitra, and Daniel B. Rowe

Optimal multilevel matching using network flows: An application to a summer reading intervention

Samuel Pimentel, Lindsay Page, Matthew Lenard, and Luke J. Keele

Topological data analysis of single-trial electroencephalographic signals

Yuan Wang, Hernando Ombao, and Moo K. Chung

Joint significance tests for mediation effects of socioeconomic adversity on adiposity via epigenetics

Yen-Tsung Huang

Adaptive-weight burden test for associations between quantitative traits and genotype data with complex correlations

Xiaowei Wu, Ting Guan, Dajiang J. Liu, Luis G. Leon Novelo, and Dipankar Bandyopadhyay

Bayesian aggregation of average data: An application in drug development

Sebastian Weber, Andrew Gelman, Daniel Lee, Michael Betancourt, Aki Vehtari, and Amy Racine-Poon

BayCount: A Bayesian decomposition method for inferring tumor heterogeneity using RNA-Seq counts

Fangzheng Xie, Mingyuan Zhou, and Yanxun Xu

Exploring the conformational space for protein folding with sequential Monte Carlo

Samuel Wong, Jun S. Liu, and Samuel Kou

Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications

Mar Rodriguez-Girondo, Perttu Salo, Tomasz Burzykowski, Markus Perola, Jeanine Houwing-Duistermaat, and Bart Mertens

Joining the incompatible: Exploiting purposive lists for the sample-based estimation of species richness

Alessandro Chiarucci, Rosa Maria Di Biase, Lorenzo Fattorini, Marzia Marcheselli, and Caterina Pisani

A general framework for association analysis of heterogeneous data

Gen Li and Irina Gaynanova

Confident inference for SNP effects on treatment efficacy

Ying Ding, Ying Grace Li, Yushi Liu, Stephen J. Ruberg, and Jason C. Hsu

Nonparametric Bayesian learning of heterogeneous dynamic transcription factor networks

Xiangyu Luo and Yingying Wei

Estimating and comparing cancer progression risks under varying surveillance protocols

Jane M. Lange, Roman Gulati, Amy S. Leonardson, Daniel W. Lin, Lisa F. Newcomb, Bruce J. Trock, H. Ballentine Carter, Matthew R. Cooperberg, Janet E. Cowan, Lawrence H. Klotz, and Ruth Etzioni

On Stephen E. Fienberg as a discussant and a friend

Donald B. Rubin

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