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 70, issue 5, 2021

Mixed‐frequency Bayesian predictive synthesis for economic nowcasting pp. 1143-1163

Kenichiro McAlinn

Estimating the effect of health service delivery interventions on patient length of stay: A Bayesian survival analysis approach pp. 1164-1186

Samuel I. Watson, Richard J. Lilford, Jianxia Sun and Julian Bion

Semiparametric model averaging prediction for lifetime data via hazards regression pp. 1187-1209

Jialiang Li, Tonghui Yu, Jing Lv and Mei‐Ling Ting Lee

A Bayesian phase I/II design for cancer clinical trials combining an immunotherapeutic agent with a chemotherapeutic agent pp. 1210-1229

Beibei Guo, Elizabeth Garrett‐Mayer and Suyu Liu

Accounting for missing actors in interaction network inference from abundance data pp. 1230-1258

Raphaëlle Momal, Stéphane Robin and Christophe Ambroise

Dynamic historical data borrowing using weighted average pp. 1259-1280

Chenghao Chu and Bingming Yi

Response‐adaptive rerandomization pp. 1281-1298

Hengtao Zhang and Guosheng Yin

Fused graphical lasso for brain networks with symmetries pp. 1299-1322

Saverio Ranciati, Alberto Roverato and Alessandra Luati

A Bayesian nonparametric analysis of the 2003 outbreak of highly pathogenic avian influenza in the Netherlands pp. 1323-1343

Rowland G. Seymour, Theodore Kypraios, Philip D. O’Neill and Thomas J. Hagenaars

Reducing the number of experiments required for modelling the hydrocracking process with kriging through Bayesian transfer learning pp. 1344-1364

Loïc Iapteff, Julien Jacques, Matthieu Rolland and Benoit Celse

Beyond unidimensional poverty analysis using distributional copula models for mixed ordered‐continuous outcomes pp. 1365-1390

Maike Hohberg, Francesco Donat, Giampiero Marra and Thomas Kneib

Bayesian sparse mediation analysis with targeted penalization of natural indirect effects pp. 1391-1412

Yanyi Song, Xiang Zhou, Jian Kang, Max T. Aung, Min Zhang, Wei Zhao, Belinda L. Needham, Sharon L. R. Kardia, Yongmei Liu, John D. Meeker, Jennifer A. Smith and Bhramar Mukherjee

Volume 70, issue 4, 2021

Phase I clinical trials in adoptive T‐cell therapies pp. 815-834

Sean M. Devlin, Alexia Iasonos and John O’Quigley

Bayesian criterion‐based variable selection pp. 835-857

Arnab Kumar Maity, Sanjib Basu and Santu Ghosh

Accelerating Bayesian estimation for network Poisson models using frequentist variational estimates pp. 858-885

Sophie Donnet and Stéphane Robin

A computationally efficient Bayesian seemingly unrelated regressions model for high‐dimensional quantitative trait loci discovery pp. 886-908

Leonardo Bottolo, Marco Banterle, Sylvia Richardson, Mika Ala‐Korpela, Marjo‐Riitta Järvelin and Alex Lewin

Censored regression for modelling small arms trade volumes and its ‘Forensic’ use for exploring unreported trades pp. 909-933

Michael Lebacher, Paul W. Thurner and Göran Kauermann

A two‐field geostatistical model combining point and areal observations—A case study of annual runoff predictions in the Voss area pp. 934-960

Thea Roksvåg, Ingelin Steinsland and Kolbjørn Engeland

A Bayesian nonparametric analysis for zero‐inflated multivariate count data with application to microbiome study pp. 961-979

Kurtis Shuler, Samuel Verbanic, Irene A. Chen and Juhee Lee

Sparse reduced‐rank regression for exploratory visualisation of paired multivariate data pp. 980-1000

Dmitry Kobak, Yves Bernaerts, Marissa A. Weis, Federico Scala, Andreas S. Tolias and Philipp Berens

Prediction in high‐dimensional linear models and application to genomic selection under imperfect linkage disequilibrium pp. 1001-1026

Charles‐Elie Rabier and Simona Grusea

Assessing the reproducibility of microbiome measurements based on concordance correlation coefficients pp. 1027-1048

Ying Cui, Limin Peng, Yijuan Hu and HuiChuan J. Lai

Inference about complex relationships using peak height data from DNA mixtures pp. 1049-1082

Peter J. Green and Julia Mortera

Pricing wind power futures pp. 1083-1102

Wolfgang Härdle, Brenda López Cabrera and Awdesch Melzer

The application of continuous‐time Markov chain models in the analysis of choice flume experiments pp. 1103-1123

Michael A. Spence, Evalyne W. Muiruri, David L. Maxwell, Scott Davis and Dave Sheahan

RNN‐based counterfactual prediction, with an application to homestead policy and public schooling pp. 1124-1139

Jason Poulos and Shuxi Zeng

Volume 70, issue 3, 2021

A model‐free approach for testing association pp. 511-531

Saptarshi Chatterjee, Shrabanti Chowdhury and Sanjib Basu

Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data pp. 532-557

Kelly R. Moran, Elizabeth L. Turner, David Dunson and Amy H. Herring

Clustering based on Kolmogorov–Smirnov statistic with application to bank card transaction data pp. 558-578

Yingqiu Zhu, Qiong Deng, Danyang Huang, Bingyi Jing and Bo Zhang

Assessing daily patterns using home activity sensors and within period changepoint detection pp. 579-595

Simon A. C. Taylor, Rebecca Killick, Jonathan Burr and Louise Rogerson

Optimal block designs for experiments on networks pp. 596-618

Vasiliki Koutra, Steven G. Gilmour and Ben M. Parker

Time matters: How default resolution times impact final loss rates pp. 619-644

Jennifer Betz, Ralf Kellner and Daniel Rösch

Bayesian modelling for spatially misaligned health areal data: A multiple membership approach pp. 645-666

Marco Gramatica, Peter Congdon and Silvia Liverani

Estimation of the size of informal employment based on administrative records with non‐ignorable selection mechanism pp. 667-690

Maciej Berȩsewicz and Dagmara Nikulin

Functional data analysis and visualisation of three‐dimensional surface shape pp. 691-713

Stanislav Katina, Liberty Vittert and Adrian W. Bowman

Clustering and automatic labelling within time series of categorical observations—with an application to marine log messages pp. 714-732

Emanuele Gramuglia, Geir Storvik and Morten Stakkeland

Mapping malaria by sharing spatial information between incidence and prevalence data sets pp. 733-749

Tim C. D. Lucas, Anita K. Nandi, Elisabeth G. Chestnutt, Katherine A. Twohig, Suzanne H. Keddie, Emma L. Collins, Rosalind E. Howes, Michele Nguyen, Susan F. Rumisha, Andre Python, Rohan Arambepola, Amelia Bertozzi‐Villa, Penelope Hancock, Punam Amratia, Katherine E. Battle, Ewan Cameron, Peter W. Gething and Daniel J. Weiss

Adjusting for population differences using machine learning methods pp. 750-769

Lauren Cappiello, Zhiwei Zhang, Changyu Shen, Neel M. Butala, Xinping Cui and Robert W. Yeh

Likelihood‐free parameter estimation for dynamic queueing networks: Case study of passenger flow in an international airport terminal pp. 770-792

Anthony Ebert, Ritabrata Dutta, Kerrie Mengersen, Antonietta Mira, Fabrizio Ruggeri and Paul Wu

Multisensor fusion of remotely sensed vegetation indices using space‐time dynamic linear models pp. 793-812

Margaret C Johnson, Brian J Reich and Josh M Gray

Volume 70, issue 2, 2021

Finite mixtures of semiparametric Bayesian survival kernel machine regressions: Application to breast cancer gene pathway subgroup analysis pp. 251-269

Lin Zhang and Inyoung Kim

Quantile‐frequency analysis and spectral measures for diagnostic checks of time series with nonlinear dynamics pp. 270-290

Ta‐Hsin Li

Threshold‐based subgroup testing in logistic regression models in two‐phase sampling designs pp. 291-311

Ying Huang, Juhee Cho and Youyi Fong

Robust estimation for small domains in business surveys pp. 312-334

Paul A. Smith, Chiara Bocci, Nikos Tzavidis, Sabine Krieg and Marc J. E. Smeets

Future proofing a building design using history matching inspired level‐set techniques pp. 335-350

Evan Baker, Peter Challenor and Matt Eames

Recurrent events modelling of haemophilia bleeding events pp. 351-371

Andrew C. Titman, Martin J. Wolfsegger and Thomas F. Jaki

Multiscale null hypothesis testing for network‐valued data: Analysis of brain networks of patients with autism pp. 372-397

Ilenia Lovato, Alessia Pini, Aymeric Stamm, Maxime Taquet and Simone Vantini

Bayesian semi‐parametric G‐computation for causal inference in a cohort study with MNAR dropout and death pp. 398-414

Maria Josefsson and Michael J. Daniels

Inferring bivariate association from respondent‐driven sampling data pp. 415-433

Dongah Kim, Krista J. Gile, Honoria Guarino and Pedro Mateu‐Gelabert

Long‐term trend analysis of extreme coastal sea levels with changepoint detection pp. 434-458

Mintaek Lee and Jaechoul Lee

A Bayesian nonparametric model for textural pattern heterogeneity pp. 459-480

Xiao Li, Michele Guindani, Chaan S. Ng and Brian P. Hobbs

Finding your feet: A Gaussian process model for estimating the abilities of batsmen in test cricket pp. 481-506

Oliver G. Stevenson and Brendon J. Brewer

Volume 70, issue 1, 2021

Random effects dynamic panel models for unequally spaced multivariate categorical repeated measures: an application to child–parent exchanges of support pp. 3-23

Fiona Steele and Emily Grundy

Bayesian varying coefficient model with selection: An application to functional mapping pp. 24-50

Benjamin Heuclin, Frédéric Mortier, Catherine Trottier and Marie Denis

Stacked inverse probability of censoring weighted bagging: A case study in the InfCareHIV Register pp. 51-65

Pablo Gonzalez Ginestet, Ales Kotalik, David M. Vock, Julian Wolfson and Erin E. Gabriel

Functional ensemble survival tree: Dynamic prediction of Alzheimer’s disease progression accommodating multiple time‐varying covariates pp. 66-79

Shu Jiang, Yijun Xie and Graham A. Colditz

A non‐parametric Hawkes process model of primary and secondary accidents on a UK smart motorway pp. 80-97

Kieran Kalair, Colm Connaughton and Pierfrancesco Alaimo Di Loro

Quantifying the trendiness of trends pp. 98-121

Andreas Kryger Jensen and Claus Thorn Ekstrøm

M‐quantile regression for multivariate longitudinal data with an application to the Millennium Cohort Study pp. 122-146

Marco Alfò, Maria Francesca Marino, Maria Giovanna Ranalli, Nicola Salvati and Nikos Tzavidis

Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective pp. 147-173

Edgar Santos‐Fernandez, Erin E. Peterson, Julie Vercelloni, Em Rushworth and Kerrie Mengersen

A Bayesian approach for determining player abilities in football pp. 174-201

Gavin A. Whitaker, Ricardo Silva, Daniel Edwards and Ioannis Kosmidis

Sequential aggregation of probabilistic forecasts—Application to wind speed ensemble forecasts pp. 202-225

Michaël Zamo, Liliane Bel and Olivier Mestre

Modelling time‐varying mobility flows using function‐on‐function regression: Analysis of a bike sharing system in the city of Milan pp. 226-247

Agostino Torti, Alessia Pini and Simone Vantini