Journal of the Royal Statistical Society Series C

1952 - 2022

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

From Royal Statistical Society
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Volume 71, issue 5, 2022

A principal stratification approach to estimating the effect of continuing treatment after observing early outcomes pp. 1065-1084

Patrick M. Schnell, Richard Baumgartner, Shahrul Mt‐Isa and Vladimir Svetnik

Classification of myocardial blood flow based on dynamic contrast‐enhanced magnetic resonance imaging using hierarchical Bayesian models pp. 1085-1115

Yalei Yang, Hao Gao, Colin Berry, David Carrick, Aleksandra Radjenovic and Dirk Husmeier

Non‐separable spatio‐temporal models via transformed multivariate Gaussian Markov random fields pp. 1116-1136

Marcos O. Prates, Douglas R. M. Azevedo, Ying C. MacNab and Michael R. Willig

Assessing predictive discrimination performance of biomarkers in the presence of treatment‐induced dependent censoring pp. 1137-1157

Cuihong Zhang, Jing Ning, Steven H. Belle, Robert H. Squires, Jianwen Cai and Ruosha Li

Dynamic disease screening by joint modelling of survival and longitudinal data pp. 1158-1180

Peihua Qiu and Lu You

Bayesian nonparametric modelling of multiple graphs with an application to ethnic metabolic differences pp. 1181-1204

Marco Molinari, Andrea Cremaschi, Maria De Iorio, Nishi Chaturvedi, Alun D. Hughes and Therese Tillin

Stopping time detection of wood panel compression: A functional time‐series approach pp. 1205-1224

Han Lin Shang, Jiguo Cao and Peijun Sang

Multilevel network item response modelling for discovering differences between innovation and regular school systems in Korea pp. 1225-1244

Ick Hoon Jin, Minjeong Jeon, Michael Schweinberger, Jonghyun Yun and Lizhen Lin

Unconventional policies effects on stock market volatility: The MAP approach pp. 1245-1265

Demetrio Lacava, Giampiero Gallo and Edoardo Otranto

Nowcasting COVID‐19 deaths in England by age and region pp. 1266-1281

Shaun R. Seaman, Pantelis Samartsidis, Meaghan Kall and Daniela De Angelis

A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine pp. 1282-1302

Tiia‐Maria Pasanen, Miikka Voutilainen, Jouni Helske and Harri Högmander

Heterogeneous graphical model for non‐negative and non‐Gaussian PM2.5 data pp. 1303-1329

Jiaqi Zhang, Xinyan Fan, Yang Li and Shuangge Ma

Specification analysis for technology use and teenager well‐being: Statistical validity and a Bayesian proposal pp. 1330-1355

Christoph Semken and David Rossell

Spatiotemporal ETAS model with a renewal main‐shock arrival process pp. 1356-1380

Tom Stindl and Feng Chen

Robust correspondence analysis pp. 1381-1401

Marco Riani, Anthony C. Atkinson, Francesca Torti and Aldo Corbellini

Network Hawkes process models for exploring latent hierarchy in social animal interactions pp. 1402-1426

Owen G. Ward, Jing Wu, Tian Zheng, Anna L. Smith and James P. Curley

Modelling time‐varying rankings with autoregressive and score‐driven dynamics pp. 1427-1450

Vladimír Holý and Jan Zouhar

Statistical integration of heterogeneous omics data: Probabilistic two‐way partial least squares (PO2PLS) pp. 1451-1470

Said el Bouhaddani, Hae‐Won Uh, Geurt Jongbloed and Jeanine Houwing‐Duistermaat

Investigating the association of a sensitive attribute with a random variable using the Christofides generalised randomised response design and Bayesian methods pp. 1471-1502

Shen‐Ming Lee, Truong‐Nhat Le, Phuoc‐Loc Tran and Chin‐Shang Li

A model‐based approach to predict employee compensation components pp. 1503-1520

Andreea L. Erciulescu and Jean D. Opsomer

Non‐parametric Bayesian covariate‐dependent multivariate functional clustering: An application to time‐series data for multiple air pollutants pp. 1521-1542

Daewon Yang, Taeryon Choi, Eric Lavigne and Yeonseung Chung

Environmental Engel curves: A neural network approach pp. 1543-1568

Tullio Mancini, Hector Calvo‐Pardo and Jose Olmo

Measuring diachronic sense change: New models and Monte Carlo methods for Bayesian inference pp. 1569-1604

Schyan Zafar and Geoff K. Nicholls

Utility‐based Bayesian personalized treatment selection for advanced breast cancer pp. 1605-1622

Juhee Lee, Peter F. Thall, Bora Lim and Pavlos Msaouel

Semi‐parametric time‐to‐event modelling of lengths of hospital stays pp. 1623-1647

Yang Li, Hao Liu, Xiaoshen Wang and Wanzhu Tu

Leveraging network structure to improve pooled testing efficiency pp. 1648-1662

Daniel K. Sewell

Score test for assessing the conditional dependence in latent class models and its application to record linkage pp. 1663-1687

Huiping Xu, Xiaochun Li, Zuoyi Zhang and Shaun Grannis

Contour models for physical boundaries enclosing star‐shaped and approximately star‐shaped polygons pp. 1688-1720

Hannah M. Director and Adrian E. Raftery

The saturated pairwise interaction Gibbs point process as a joint species distribution model pp. 1721-1752

Ian Flint, Nick Golding, Peter Vesk, Yan Wang and Aihua Xia

Sequential one‐step estimator by sub‐sampling for customer churn analysis with massive data sets pp. 1753-1786

Feifei Wang, Danyang Huang, Tianchen Gao, Shuyuan Wu and Hansheng Wang

Efficient estimation of the marginal mean of recurrent events pp. 1787-1821

Giuliana Cortese and Thomas H. Scheike

A Bayesian model for estimating Sustainable Development Goal indicator 4.1.2: School completion rates pp. 1822-1864

Ameer Dharamshi, Bilal Barakat, Leontine Alkema and Manos Antoninis

Flexible domain prediction using mixed effects random forests pp. 1865-1894

Patrick Krennmair and Timo Schmid

Optimal approximate choice designs for a two‐step coffee choice, taste and choice again experiment pp. 1895-1917

Nedka Dechkova Nikiforova, Rossella Berni and Jesús Fernando López‐Fidalgo

Non‐parametric calibration of multiple related radiocarbon determinations and their calendar age summarisation pp. 1918-1956

Timothy J. Heaton

Derivation of maternal dietary patterns accounting for regional heterogeneity pp. 1957-1977

Briana J. K. Stephenson, Amy H. Herring and Andrew F. Olshan

Bayesian multi‐level mixed‐effects model for influenza dynamics pp. 1978-1995

Hanwen Huang

Combining cytotoxic agents with continuous dose levels in seamless phase I‐II clinical trials pp. 1996-2013

José L. Jiménez and Mourad Tighiouart

Bayesian modelling strategies for borrowing of information in randomised basket trials pp. 2014-2037

Luke O. Ouma, Michael J. Grayling, James M. S. Wason and Haiyan Zheng

Volume 71, issue 4, 2022

Exploring British accents: Modelling the trap–bath split with functional data analysis pp. 773-805

Aranya Koshy and Shahin Tavakoli

Highly irregular functional generalized linear regression with electronic health records pp. 806-833

Justin Petrovich, Matthew Reimherr and Carrie Daymont

Bayesian imputation of COVID‐19 positive test counts for nowcasting under reporting lag pp. 834-860

Radka Jersakova, James Lomax, James Hetherington, Brieuc Lehmann, George Nicholson, Mark Briers and Chris Holmes

Multifidelity computer model emulation with high‐dimensional output: An application to storm surge pp. 861-883

Pulong Ma, Georgios Karagiannis, Bledar A. Konomi, Taylor G. Asher, Gabriel R. Toro and Andrew T. Cox

Modelling the extremes of seasonal viruses and hospital congestion: The example of flu in a Swiss hospital pp. 884-905

Setareh Ranjbar, Eva Cantoni, Valérie Chavez‐Demoulin, Giampiero Marra, Rosalba Radice and Katia Jaton

Improving cardio‐mechanic inference by combining in vivo strain data with ex vivo volume–pressure data pp. 906-931

Alan Lazarus, Hao Gao, Xiaoyu Luo and Dirk Husmeier

The modelling of movement of multiple animals that share behavioural features pp. 932-950

Gianluca Mastrantonio

A Bayesian multi‐region radial composite reservoir model for deconvolution in well test analysis pp. 951-968

Themistoklis Botsas, Jonathan A. Cumming and Ian H. Jermyn

Analysing cycling sensors data through ordinal logistic regression with functional covariates pp. 969-986

Julien Jacques and Sanja Samardžić

Reliability analysis of artificial intelligence systems using recurrent events data from autonomous vehicles pp. 987-1013

Jie Min, Yili Hong, Caleb B. King and William Q. Meeker

A nearest‐neighbour Gaussian process spatial factor model for censored, multi‐depth geochemical data pp. 1014-1043

Tilman M. Davies, Sudipto Banerjee, Adam P. Martin and Rose E. Turnbull

A unifying framework for flexible excess hazard modelling with applications in cancer epidemiology pp. 1044-1062

Alessia Eletti, Giampiero Marra, Manuela Quaresma, Rosalba Radice and Francisco Javier Rubio

Volume 71, issue 3, 2022

A semi‐parametric integer‐valued autoregressive model with covariates pp. 495-516

Yao Rao, David Harris and Brendan McCabe

Inferring the sources of HIV infection in Africa from deep‐sequence data with semi‐parametric Bayesian Poisson flow models pp. 517-540

Xiaoyue Xi, Simon E. F. Spencer, Matthew Hall, M. Kate Grabowski, Joseph Kagaayi, Oliver Ratmann and Rakai Health Sciences Program and PANGEA‐HIV

Regularized regression on compositional trees with application to MRI analysis pp. 541-561

Bingkai Wang, Brian S. Caffo, Xi Luo, Chin‐Fu Liu, Andreia V. Faria, Michael I. Miller, Yi Zhao and for the Alzheimer's Disease Neuroimaging Initiative*

Posterior summaries of grocery retail topic models: Evaluation, interpretability and credibility pp. 562-588

Mariflor Vega Carrasco, Ioanna Manolopoulou, Jason O'Sullivan, Rosie Prior and Mirco Musolesi

Zero‐state coupled Markov switching count models for spatio‐temporal infectious disease spread pp. 589-612

Dirk Douwes‐Schultz and Alexandra M. Schmidt

A Bayesian non‐linear state space copula model for air pollution in Beijing pp. 613-638

Alexander Kreuzer, Luciana Dalla Valle and Claudia Czado

Predicting phenotypes from brain connection structure pp. 639-668

Subharup Guha, Rex Jung and David Dunson

Generalizing trial evidence to target populations in non‐nested designs: Applications to AIDS clinical trials pp. 669-697

Fan Li, Ashley L. Buchanan and Stephen R. Cole

Modelling clusters of corporate defaults: Regime‐switching models significantly reduce the contagion source pp. 698-722

Geir Drage Berentsen, Jan Bulla, Antonello Maruotti and Bård Støve

Assessing seismic origin of geological features by fitting equidistant parallel lines pp. 723-738

P.E. Jupp, I.B.J. Goudie, R.A. Batchelor and R.J.B. Goudie

A dynamic structural equation approach to estimate the short‐term effects of air pollution on human health pp. 739-769

Dani Gamerman, Luigi Ippoliti and Pasquale Valentini

Volume 71, issue 2, 2022

A Bayesian spatio‐network model for multiple adolescent adverse health behaviours pp. 271-287

George Gerogiannis, Mark Tranmer, Duncan Lee and Thomas Valente

The Bayesian Spatial Bradley–Terry model: Urban deprivation modelling in Tanzania pp. 288-308

Rowland G. Seymour, David Sirl, Simon P. Preston, Ian L. Dryden, Madeleine J. A. Ellis, Bertrand Perrat and James Goulding

Ranking tailoring variables for constructing individualized treatment rules: An application to schizophrenia pp. 309-330

Jiacheng Wu, Nina Galanter, Susan M. Shortreed and Erica E.M. Moodie

Gaussian process modeling for dissolution curve comparisons pp. 331-351

Tony Pourmohamad, Cristian M. Oliva Avilés and Robert Richardson

Outcome‐guided sparse K‐means for disease subtype discovery via integrating phenotypic data with high‐dimensional transcriptomic data pp. 352-375

Lingsong Meng, Dorina Avram, George Tseng and Zhiguang Huo

Real‐time prediction of severe influenza epidemics using extreme value statistics pp. 376-394

Maud Thomas and Holger Rootzén

Transformation model based regression with dependently truncated and independently censored data pp. 395-416

Jing Qian, Sy Han Chiou and Rebecca A. Betensky

Quantile mixed hidden Markov models for multivariate longitudinal data: An application to children's Strengths and Difficulties Questionnaire scores pp. 417-448

Luca Merlo, Lea Petrella and Nikos Tzavidis

Forecasting high‐frequency spatio‐temporal wind power with dimensionally reduced echo state networks pp. 449-466

Huang Huang, Stefano Castruccio and Marc G. Genton

Lifting scheme for streamflow data in river networks pp. 467-490

Seoncheol Park and Hee‐Seok Oh

Erratum pp. 491-492

Suyu Liu and Ying Yuan

Volume 71, issue 1, 2022

Estimating mean lifetime from partially observed events in nuclear physics pp. 3-26

Juha Karvanen, Mikko Niilo‐Rämä, Jan Sarén and Salme Kärkkäinen

Characteristic and necessary minutiae in fingerprints pp. 27-50

Johannes Wieditz, Yvo Pokern, Dominic Schuhmacher and Stephan Huckemann

Nonparametric k‐sample test on shape spaces with applications to mitochondrial shape analysis pp. 51-69

Ruiyi Zhang, R. Todd Ogden, Martin Picard and Anuj Srivastava

Using social contact data to improve the overall effect estimate of a cluster‐randomized influenza vaccination program in Senegal pp. 70-90

Gail E. Potter, Nicole Bohme Carnegie, Jonathan D. Sugimoto, Aldiouma Diallo, John C. Victor, Kathleen M. Neuzil and M. Elizabeth Halloran

Urnings: A new method for tracking dynamically changing parameters in paired comparison systems pp. 91-118

Maria Bolsinova, Gunter Maris, Abe D. Hofman, Han L. J. van der Maas and Matthieu J. S. Brinkhuis

Estimation of large block structured covariance matrices: Application to ‘multi‐omic’ approaches to study seed quality pp. 119-147

M. Perrot‐Dockès, C. Lévy‐Leduc and L. Rajjou

Daily mortality/morbidity and air quality: Using multivariate time series with seasonally varying covariances pp. 148-174

Guowen Huang, Patrick E. Brown, Sze Hang Fu and Hwashin Hyun Shin

A discrete kernel stick‐breaking model for detecting spatial boundaries in hydraulic fracturing wastewater disposal well placement across Ohio pp. 175-193

Joshua L. Warren, Jiachen Cai, Nicholaus P. Johnson and Nicole C. Deziel

Pólya‐gamma data augmentation and latent variable models for multivariate binomial data pp. 194-218

John B. Holmes, Matthew R. Schofield and Richard J. Barker

Multiple comparison procedures for discrete uniform and homogeneous tests pp. 219-243

Marta Cousido‐Rocha, Jacobo de Uña‐Álvarez and Sebastian Döhler

Second‐order semi‐parametric inference for multivariate log Gaussian Cox processes pp. 244-268

Kristian Bjørn Hessellund, Ganggang Xu, Yongtao Guan and Rasmus Waagepetersen