Journal of the Royal Statistical Society Series C

1952 - 2022

Current editor(s): R. Chandler and P. W. F. Smith

From Royal Statistical Society
Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 69, issue 5, 2020

Linear mixed effects models for non‐Gaussian continuous repeated measurement data pp. 1015-1065

Özgür Asar, David Bolin, Peter J. Diggle and Jonas Wallin

Burglary in London: insights from statistical heterogeneous spatial point processes pp. 1067-1090

Jan Povala, Seppo Virtanen and Mark Girolami

Sensitivity analysis for publication bias in meta‐analyses pp. 1091-1119

Maya B. Mathur and Tyler J. VanderWeele

A hierarchical mixed effect hurdle model for spatiotemporal count data and its application to identifying factors impacting health professional shortages pp. 1121-1144

Soutik Ghosal, Timothy S. Lau, Jeremy Gaskins and Maiying Kong

Landmark proportional subdistribution hazards models for dynamic prediction of cumulative incidence functions pp. 1145-1162

Qing Liu, Gong Tang, Joseph P. Costantino and Chung‐Chou H. Chang

Cluster analysis of microbiome data by using mixtures of Dirichlet–multinomial regression models pp. 1163-1187

Sanjeena Subedi, Drew Neish, Stephen Bak and Zeny Feng

Nested g‐computation: a causal approach to analysis of censored medical costs in the presence of time‐varying treatment pp. 1189-1208

Andrew J. Spieker, Emily M. Ko, Jason A. Roy and Nandita Mitra

On the interplay between exposure misclassification and informative cluster size pp. 1209-1226

Glen McGee, Marianthi‐Anna Kioumourtzoglou, Marc G. Weisskopf, Sebastien Haneuse and Brent A. Coull

One‐class classification with application to forensic analysis pp. 1227-1249

Francesca Fortunato, Laura Anderlucci and Angela Montanari

Adding measurement error to location data to protect subject confidentiality while allowing for consistent estimation of exposure effects pp. 1251-1268

Mahesh Karra, David Canning and Ryoko Sato

Bayesian analysis of tests with unknown specificity and sensitivity pp. 1269-1283

Andrew Gelman and Bob Carpenter

A calibrated sensitivity analysis for matched observational studies with application to the effect of second‐hand smoke exposure on blood lead levels in children pp. 1285-1305

Bo Zhang and Dylan S. Small

A Bayesian quest for finding a unified model for predicting volleyball games pp. 1307-1336

Leonardo Egidi and Ioannis Ntzoufras

Markov switching modelling of shooting performance variability and teammate interactions in basketball pp. 1337-1356

Marco Sandri, Paola Zuccolotto and Marica Manisera

Circular regression trees and forests with an application to probabilistic wind direction forecasting pp. 1357-1374

Moritz N. Lang, Lisa Schlosser, Torsten Hothorn, Georg J. Mayr, Reto Stauffer and Achim Zeileis

Volume 69, issue 4, 2020

Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market pp. 711-739

Federica Bianchi, Francesco Bartolucci, Stefano Peluso and Antonietta Mira

Causal mechanism of extreme river discharges in the upper Danube basin network pp. 741-764

Linda Mhalla, Valérie Chavez‐Demoulin and Debbie J. Dupuis

Inference for extreme values under threshold‐based stopping rules pp. 765-789

Anna Maria Barlow, Chris Sherlock and Jonathan Tawn

A hybrid approach for the stratified mark‐specific proportional hazards model with missing covariates and missing marks, with application to vaccine efficacy trials pp. 791-814

Yanqing Sun, Li Qi, Fei Heng and Peter B. Gilbert

Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking pp. 815-839

Oliver Stoner, Gavin Shaddick, Theo Economou, Sophie Gumy, Jessica Lewis, Itzel Lucio, Giulia Ruggeri and Heather Adair‐Rohani

Small sample corrections for Wald tests in latent variable models pp. 841-861

Brice Ozenne, Patrick M. Fisher and Esben Budtz‐J⊘rgensen

Modelling fuel injector spray characteristics in jet engines by using vine copulas pp. 863-886

Maximilian Coblenz, Simon Holz, Hans‐Jörg Bauer, Oliver Grothe and Rainer Koch

Simulating gene silencing through intervention analysis pp. 887-907

Vera Djordjilović, Monica Chiogna and Chiara Romualdi

Global forensic geolocation with deep neural networks pp. 909-929

Neal S. Grantham, Brian J. Reich, Eric B. Laber, Krishna Pacifici, Robert R. Dunn, Noah Fierer, Matthew Gebert, Julia S. Allwood and Seth A. Faith

Fault isolation for a complex decentralized waste water treatment facility pp. 931-951

Molly C. Klanderman, Kathryn B. Newhart, Tzahi Y. Cath and Amanda S. Hering

Estimating the binary endogenous effect of insurance on doctor visits by copula‐based regression additive models pp. 953-971

Giampiero Marra, Rosalba Radice and David Zimmer

Statistical inference on tree swallow migrations with random forests pp. 973-989

Tim Coleman, Lucas Mentch, Daniel Fink, Frank A. La Sorte, David W. Winkler, Giles Hooker and Wesley M. Hochachka

The use of sampling weights in M‐quantile random‐effects regression: an application to Programme for International Student Assessment mathematics scores pp. 991-1012

Francesco Schirripa Spagnolo, Nicola Salvati, Antonella D’Agostino and Ides Nicaise

Volume 69, issue 3, 2020

Robust and adaptive anticoagulant control pp. 503-524

Peter Avery, Quentin Clairon, Robin Henderson, C. James Taylor and Emma Wilson

Structured penalized regression for drug sensitivity prediction pp. 525-545

Zhi Zhao and Manuela Zucknick

Multiple imputation of binary multilevel missing not at random data pp. 547-564

Angelina Hammon and Sabine Zinn

Variable selection in functional linear concurrent regression pp. 565-587

Rahul Ghosal, Arnab Maity, Timothy Clark and Stefano B. Longo

A joint confidence region for an overall ranking of populations pp. 589-606

Martin Klein, Tommy Wright and Jerzy Wieczorek

An optimal design for hierarchical generalized group testing pp. 607-621

Yaakov Malinovsky, Gregory Haber and Paul S. Albert

A novel regularized approach for functional data clustering: an application to milking kinetics in dairy goats pp. 623-640

C. Denis, E. Lebarbier, C. Lévy‐Leduc, O. Martin and L. Sansonnet

Generalized partially linear models on Riemannian manifolds pp. 641-661

Amelia Simó, M. Victoria Ibáñez, Irene Epifanio and Vicent Gimeno

A Bayesian group sequential small n sequential multiple‐assignment randomized trial pp. 663-680

Yan‐Cheng Chao, Thomas M. Braun, Roy N. Tamura and Kelley M. Kidwell

A spatially varying distributed lag model with application to an air pollution and term low birth weight study pp. 681-696

Joshua L. Warren, Thomas J. Luben and Howard H. Chang

The harmonic mean χ2‐test to substantiate scientific findings pp. 697-708

Leonhard Held

Volume 69, issue 2, 2020

Modelling the spatial extent and severity of extreme European windstorms pp. 223-250

Paul Sharkey, Jonathan A. Tawn and Simon J. Brown

The analysis of transformations for profit‐and‐loss data pp. 251-275

Anthony C. Atkinson, Marco Riani and Aldo Corbellini

Efficient data augmentation for multivariate probit models with panel data: an application to general practitioner decision making about contraceptives pp. 277-300

Vincent Chin, David Gunawan, Denzil Fiebig, Robert Kohn and Scott A. Sisson

Bayesian protein sequence and structure alignment pp. 301-325

Christopher J. Fallaize, Peter J. Green, Kanti V. Mardia and Stuart Barber

Estimating seal pup production in the Greenland Sea by using Bayesian hierarchical modelling pp. 327-352

Martin Jullum, Thordis Thorarinsdottir and Fabian E. Bachl

Estimation and inference in mixed effect regression models using shape constraints, with application to tree height estimation pp. 353-375

Xiyue Liao and Mary C. Meyer

Modelling environmental DNA data; Bayesian variable selection accounting for false positive and false negative errors pp. 377-392

Jim E. Griffin, Eleni Matechou, Andrew S. Buxton, Dimitrios Bormpoudakis and Richard A. Griffiths

Using Cox regression to develop linear rank tests with zero‐inflated clustered data pp. 393-411

Stuart R. Lipsitz, Garrett M. Fitzmaurice, Debajyoti Sinha, Alexander P. Cole, Christian P. Meyer and Quoc‐Dien Trinh

Assessing heterogeneity in transition propensity in multistate capture–recapture data pp. 413-427

Anita Jeyam, Rachel McCrea and Roger Pradel

A flexible parametric modelling framework for survival analysis pp. 429-457

Kevin Burke, M. C. Jones and Angela Noufaily

Bayesian hierarchical modelling of growth curve derivatives via sequences of quotient differences pp. 459-481

Garritt L. Page, María Xosé Rodríguez‐Álvarez and Dae‐Jin Lee

Factor‐augmented Bayesian cointegration models: a case‐study on the soybean crush spread pp. 483-500

Maciej Marowka, Gareth W. Peters, Nikolas Kantas and Guillaume Bagnarosa

Volume 69, issue 1, 2020

Analysis of tornado reports through replicated spatiotemporal point patterns pp. 3-23

Jonatan A. González, Ute Hahn and Jorge Mateu

Longitudinal dynamic functional regression pp. 25-46

Ana‐Maria Staicu, Md Nazmul Islam, Raluca Dumitru and Eric van Heugten

Zoom‐in–out joint graphical lasso for different coarseness scales pp. 47-67

Eugen Pircalabelu, Gerda Claeskens and Lourens J. Waldorp

Selecting biomarkers for building optimal treatment selection rules by using kernel machines pp. 69-88

Sayan Dasgupta and Ying Huang

Estimating the probability of default for no‐default and low‐default portfolios pp. 89-107

Oliver Blümke

Bayesian modelling of marked point processes with incomplete records: volcanic eruptions pp. 109-130

Ting Wang, Matthew Schofield, Mark Bebbington and Koji Kiyosugi

A full Bayesian implementation of a generalized partial credit model with an application to an international disability survey pp. 131-150

Sujit K. Sahu, Mark R. Bass, Carla Sabariego, Alarcos Cieza, Carolina S. Fellinghauer and Somnath Chatterji

A time‐varying Bayesian joint hierarchical copula model for analysing recurrent events and a terminal event: an application to the Cardiovascular Health Study pp. 151-166

Zheng Li, Vernon M. Chinchilli and Ming Wang

Inference for biomedical data by using diffusion models with covariates and mixed effects pp. 167-193

Mareile Große Ruse, Adeline Samson and Susanne Ditlevsen

Modelling and prediction of financial trading networks: an application to the New York Mercantile Exchange natural gas futures market pp. 195-218

Brenda Betancourt, Abel Rodríguez and Naomi Boyd