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.
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Volume 67, issue 5, 2018
- The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages pp. 1103-1145

- Davide Pigoli, Pantelis Z. Hadjipantelis, John S. Coleman and John A. D. Aston
- Simultaneous inference for misaligned multivariate functional data pp. 1147-1176

- Niels Lundtorp Olsen, Bo Markussen and Lars Lau Raket
- The role of secondary outcomes in multivariate meta‐analysis pp. 1177-1205

- John B. Copas, Dan Jackson, Ian White and Richard D. Riley
- Peptide refinement by using a stochastic search pp. 1207-1236

- Nicole H. Lewis, David B. Hitchcock, Ian L. Dryden and John R. Rose
- Detecting multivariate interactions in spatial point patterns with Gibbs models and variable selection pp. 1237-1273

- T. Rajala, D. J. Murrell and S. C. Olhede
- Unravelling the predictive power of telematics data in car insurance pricing pp. 1275-1304

- Roel Verbelen, Katrien Antonio and Gerda Claeskens
- Self‐exciting point processes with spatial covariates: modelling the dynamics of crime pp. 1305-1329

- Alex Reinhart and Joel Greenhouse
- Constructing treatment decision rules based on scalar and functional predictors when moderators of treatment effect are unknown pp. 1331-1356

- Adam Ciarleglio, Eva Petkova, Todd Ogden and Thaddeus Tarpey
- Radiologic image‐based statistical shape analysis of brain tumours pp. 1357-1378

- Karthik Bharath, Sebastian Kurtek, Arvind Rao and Veerabhadran Baladandayuthapani
- Stratified space–time infectious disease modelling, with an application to hand, foot and mouth disease in China pp. 1379-1398

- Cici Bauer and Jon Wakefield
- Multivariate latent variable transition models of longitudinal mixed data: an analysis on alcohol use disorder pp. 1399-1418

- Silvia Cagnone and Cinzia Viroli
- Testing for pathway (in)activation by using Gaussian graphical models pp. 1419-1436

- Wessel N. van Wieringen, Carel F. W. Peeters, Renee X. de Menezes and Mark A. van de Wiel
- A non‐linear model for censored and mismeasured time varying covariates in survival models, with applications in human immunodeficiency virus and acquired immune deficiency syndrome studies pp. 1437-1450

- Hongbin Zhang and Lang Wu
Volume 67, issue 4, 2018
- Optimal treatment allocations in space and time for on‐line control of an emerging infectious disease pp. 743-789

- Eric B. Laber, Nick J. Meyer, Brian J. Reich, Krishna Pacifici, Jaime A. Collazo and John M. Drake
- Using artificial censoring to improve extreme tail quantile estimates pp. 791-812

- Yang Liu, Matías Salibián‐Barrera, Ruben H. Zamar and James V. Zidek
- Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models pp. 813-839

- Anna Bonnet, Céline Lévy‐Leduc, Elisabeth Gassiat, Roberto Toro and Thomas Bourgeron
- Correlated multistate models for multiple processes: an application to renal disease progression in systemic lupus erythematosus pp. 841-860

- Aidan G. O’Keeffe, Li Su and Vernon T. Farewell
- Bayesian small area estimation for skewed business survey variables pp. 861-879

- Enrico Fabrizi, Maria Ferrante and Carlo Trivisano
- Non‐parametric Bayesian multivariate metaregression: an application in environmental epidemiology pp. 881-896

- Gyuseok Sim, Ho Kim, Antonella Zanobetti, Joel Schwartz and Yeonseung Chung
- The functional latent block model for the co‐clustering of electricity consumption curves pp. 897-915

- Charles Bouveyron, Laurent Bozzi, Julien Jacques and François‐Xavier Jollois
- Discovering treatment effect heterogeneity through post‐treatment variables with application to the effect of class size on mathematics scores pp. 917-938

- Ashkan Ertefaie, Jesse Y. Hsu, Lindsay C. Page and Dylan S. Small
- Marginal logistic regression for spatially clustered binary data pp. 939-959

- Manuela Cattelan and Cristiano Varin
- Functional principal components analysis on moving time windows of longitudinal data: dynamic prediction of times to event pp. 961-978

- Fangrong Yan, Xiao Lin, Ruosha Li and Xuelin Huang
- Simultaneous equation penalized likelihood estimation of vehicle accident injury severity pp. 979-1001

- Francesco Donat and Giampiero Marra
- Spatially varying auto‐regressive models for prediction of new human immunodeficiency virus diagnoses pp. 1003-1022

- Lyndsay Shand, Bo Li, Trevor Park and Dolores Albarracín
- Estimating material properties under extreme conditions by using Bayesian model calibration with functional outputs pp. 1023-1045

- J. L. Brown and L. B. Hund
- Power and commensurate priors for synthesizing aggregate and individual patient level data in network meta‐analysis pp. 1047-1069

- Hwanhee Hong, Haoda Fu and Bradley P. Carlin
- Bayesian models for weighted data with missing values: a bootstrap approach pp. 1071-1081

- Harvey Goldstein, James Carpenter and Michael G. Kenward
- Modelling correlated binary variables: an application to lower urinary tract symptoms pp. 1083-1100

- William Barcella, Maria De Iorio and James Malone‐Lee
Volume 67, issue 3, 2018
- Bayesian non‐parametric conditional copula estimation of twin data pp. 523-548

- Luciana Dalla Valle, Fabrizio Leisen and Luca Rossini
- Combining sharp and smooth transitions in volatility dynamics: a fuzzy regime approach pp. 549-573

- Giampiero Gallo and Edoardo Otranto
- Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach pp. 575-598

- Monia Ranalli, Francesco Lagona, Marco Picone and Enrico Zambianchi
- Stochastic differential equation based on a multimodal potential to model movement data in ecology pp. 599-619

- Pierre Gloaguen, Marie‐Pierre Etienne and Sylvain Le Corff
- Boosting factor‐specific functional historical models for the detection of synchronization in bioelectrical signals pp. 621-642

- David Rügamer, Sarah Brockhaus, Kornelia Gentsch, Klaus Scherer and Sonja Greven
- Standardized drought indices: a novel univariate and multivariate approach pp. 643-664

- Tobias M. Erhardt and Claudia Czado
- Signal regression models for location, scale and shape with an application to stock returns pp. 665-686

- Sarah Brockhaus, Andreas Fuest, Andreas Mayr and Sonja Greven
- Modelling time varying heterogeneity in recurrent infection processes: an application to serological data pp. 687-704

- Steven Abrams, Andreas Wienke and Niel Hens
- A spatiotemporal multispecies model of a semicontinuous response pp. 705-722

- Charlotte M. Jones‐Todd, Ben Swallow, Janine B. Illian and Mike Toms
- BLAST: Bayesian latent subgroup design for basket trials accounting for patient heterogeneity pp. 723-740

- Yiyi Chu and Ying Yuan
Volume 67, issue 2, 2018
- Survival analysis with functions of mismeasured covariate histories: the case of chronic air pollution exposure in relation to mortality in the nurses’ health study pp. 307-327

- Xiaomei Liao, Xin Zhou, Molin Wang, Jaime E. Hart, Francine Laden and Donna Spiegelman
- Analysis of spatial data with a nested correlation structure pp. 329-354

- Oyelola A. Adegboye, Denis H. Y. Leung and You‐Gan Wang
- A penalized inference approach to stochastic block modelling of community structure in the Italian Parliament pp. 355-369

- Mirko Signorelli and Ernst C. Wit
- Mediation analysis for count and zero‐inflated count data without sequential ignorability and its application in dental studies pp. 371-394

- Zijian Guo, Dylan S. Small, Stuart A. Gansky and Jing Cheng
- Contextual ranking by passive safety of generational classes of light vehicles pp. 395-416

- Z. Ouni, C. Denis, C. Chauvel and A. Chambaz
- Dynamic Bayesian network inferencing for non‐homogeneous complex systems pp. 417-434

- Paul P.‐Y. Wu, M. Julian Caley, Gary A. Kendrick, Kathryn McMahon and Kerrie Mengersen
- Multiclass vector auto‐regressive models for multistore sales data pp. 435-452

- Ines Wilms, Luca Barbaglia and Christophe Croux
- Generalized additive models with principal component analysis: an application to time series of respiratory disease and air pollution data pp. 453-480

- Juliana B. de Souza, Valdério A. Reisen, Glaura C. Franco, Márton Ispány, Pascal Bondon and Jane Meri Santos
- Clustered multistate models with observation level random effects, mover–stayer effects and dynamic covariates: modelling transition intensities and sojourn times in a study of psoriatic arthritis pp. 481-500

- Sean Yiu, Vernon T. Farewell and Brian D. M. Tom
- Estimating dynamic macroeconomic models: how informative are the data? pp. 501-520

- Daniel Beltran and David Draper
Volume 67, issue 1, 2018
- A Bayesian model selection approach for identifying differentially expressed transcripts from RNA sequencing data pp. 3-23

- Panagiotis Papastamoulis and Magnus Rattray
- Bayesian model selection for the glacial–interglacial cycle pp. 25-54

- Jake Carson, Michel Crucifix, Simon Preston and Richard D. Wilkinson
- Domain‐selective functional analysis of variance for supervised statistical profile monitoring of signal data pp. 55-81

- Alessia Pini, Simone Vantini, Bianca Maria Colosimo and Marco Grasso
- Urban heat risk mapping using multiple point patterns in Houston, Texas pp. 83-102

- Jacob W. Mortensen, Matthew J. Heaton and Olga V. Wilhelmi
- Estimating the treatment effect on the treated under time‐dependent confounding in an application to the Swiss HIV Cohort Study pp. 103-125

- Jon Michael Gran, Rune Hoff, Kjetil Røysland, Bruno Ledergerber, James Young and Odd O. Aalen
- Bayesian mixed treatment comparisons meta‐analysis for correlated outcomes subject to reporting bias pp. 127-144

- Yulun Liu, Stacia M. DeSantis and Yong Chen
- Accommodating informative dropout and death: a joint modelling approach for longitudinal and semicompeting risks data pp. 145-163

- Qiuju Li and Li Su
- Bat echolocation call identification for biodiversity monitoring: a probabilistic approach pp. 165-183

- Vassilios Stathopoulos, Veronica Zamora‐Gutierrez, Kate E. Jones and Mark Girolami
- Simultaneously modelling clustered marginal counts and multinomial proportions with zero inflation with application to analysis of osteoporotic fractures data pp. 185-200

- M. Tariqul Hasan, Gary Sneddon and Renjun Ma
- Markov models for ocular fixation locations in the presence and absence of colour pp. 201-215

- Adam B. Kashlak, Eoin Devane, Helge Dietert and Henry Jackson
- Fully general Chao and Zelterman estimators with application to a whale shark population pp. 217-229

- Alessio Farcomeni
- Data integration model for air quality: a hierarchical approach to the global estimation of exposures to ambient air pollution pp. 231-253

- Gavin Shaddick, Matthew L. Thomas, Amelia Green, Michael Brauer, Aaron van Donkelaar, Rick Burnett, Howard H. Chang, Aaron Cohen, Rita Van Dingenen, Carlos Dora, Sophie Gumy, Yang Liu, Randall Martin, Lance A. Waller, Jason West, James V. Zidek and Annette Prüss‐Ustün
- Pattern–mixture models with incomplete informative cluster size: application to a repeated pregnancy study pp. 255-273

- Ashok Chaurasia, Danping Liu and Paul S. Albert
- Simulation–extrapolation for bias correction with exposure uncertainty in radiation risk analysis utilizing grouped data pp. 275-289

- Munechika Misumi, Kyoji Furukawa, John B. Cologne and Harry M. Cullings
- A multivariate space–time model for analysing county level heart disease death rates by race and sex pp. 291-304

- Harrison Quick, Lance A. Waller and Michele Casper
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