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November 2022, Volume 71, Issue 5
- 1065-1084 A principal stratification approach to estimating the effect of continuing treatment after observing early outcomes
by Patrick M. Schnell & Richard Baumgartner & Shahrul Mt‐Isa & Vladimir Svetnik - 1085-1115 Classification of myocardial blood flow based on dynamic contrast‐enhanced magnetic resonance imaging using hierarchical Bayesian models
by Yalei Yang & Hao Gao & Colin Berry & David Carrick & Aleksandra Radjenovic & Dirk Husmeier - 1116-1136 Non‐separable spatio‐temporal models via transformed multivariate Gaussian Markov random fields
by Marcos O. Prates & Douglas R. M. Azevedo & Ying C. MacNab & Michael R. Willig - 1137-1157 Assessing predictive discrimination performance of biomarkers in the presence of treatment‐induced dependent censoring
by Cuihong Zhang & Jing Ning & Steven H. Belle & Robert H. Squires & Jianwen Cai & Ruosha Li - 1158-1180 Dynamic disease screening by joint modelling of survival and longitudinal data
by Peihua Qiu & Lu You - 1181-1204 Bayesian nonparametric modelling of multiple graphs with an application to ethnic metabolic differences
by Marco Molinari & Andrea Cremaschi & Maria De Iorio & Nishi Chaturvedi & Alun D. Hughes & Therese Tillin - 1205-1224 Stopping time detection of wood panel compression: A functional time‐series approach
by Han Lin Shang & Jiguo Cao & Peijun Sang - 1225-1244 Multilevel network item response modelling for discovering differences between innovation and regular school systems in Korea
by Ick Hoon Jin & Minjeong Jeon & Michael Schweinberger & Jonghyun Yun & Lizhen Lin - 1245-1265 Unconventional policies effects on stock market volatility: The MAP approach
by Demetrio Lacava & Giampiero M. Gallo & Edoardo Otranto - 1266-1281 Nowcasting COVID‐19 deaths in England by age and region
by Shaun R. Seaman & Pantelis Samartsidis & Meaghan Kall & Daniela De Angelis - 1282-1302 A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine
by Tiia‐Maria Pasanen & Miikka Voutilainen & Jouni Helske & Harri Högmander - 1303-1329 Heterogeneous graphical model for non‐negative and non‐Gaussian PM2.5 data
by Jiaqi Zhang & Xinyan Fan & Yang Li & Shuangge Ma - 1330-1355 Specification analysis for technology use and teenager well‐being: Statistical validity and a Bayesian proposal
by Christoph Semken & David Rossell - 1356-1380 Spatiotemporal ETAS model with a renewal main‐shock arrival process
by Tom Stindl & Feng Chen - 1381-1401 Robust correspondence analysis
by Marco Riani & Anthony C. Atkinson & Francesca Torti & Aldo Corbellini - 1402-1426 Network Hawkes process models for exploring latent hierarchy in social animal interactions
by Owen G. Ward & Jing Wu & Tian Zheng & Anna L. Smith & James P. Curley - 1427-1450 Modelling time‐varying rankings with autoregressive and score‐driven dynamics
by Vladimír Holý & Jan Zouhar - 1451-1470 Statistical integration of heterogeneous omics data: Probabilistic two‐way partial least squares (PO2PLS)
by Said el Bouhaddani & Hae‐Won Uh & Geurt Jongbloed & Jeanine Houwing‐Duistermaat - 1471-1502 Investigating the association of a sensitive attribute with a random variable using the Christofides generalised randomised response design and Bayesian methods
by Shen‐Ming Lee & Truong‐Nhat Le & Phuoc‐Loc Tran & Chin‐Shang Li - 1503-1520 A model‐based approach to predict employee compensation components
by Andreea L. Erciulescu & Jean D. Opsomer - 1521-1542 Non‐parametric Bayesian covariate‐dependent multivariate functional clustering: An application to time‐series data for multiple air pollutants
by Daewon Yang & Taeryon Choi & Eric Lavigne & Yeonseung Chung - 1543-1568 Environmental Engel curves: A neural network approach
by Tullio Mancini & Hector Calvo‐Pardo & Jose Olmo - 1569-1604 Measuring diachronic sense change: New models and Monte Carlo methods for Bayesian inference
by Schyan Zafar & Geoff K. Nicholls - 1605-1622 Utility‐based Bayesian personalized treatment selection for advanced breast cancer
by Juhee Lee & Peter F. Thall & Bora Lim & Pavlos Msaouel - 1623-1647 Semi‐parametric time‐to‐event modelling of lengths of hospital stays
by Yang Li & Hao Liu & Xiaoshen Wang & Wanzhu Tu - 1648-1662 Leveraging network structure to improve pooled testing efficiency
by Daniel K. Sewell - 1663-1687 Score test for assessing the conditional dependence in latent class models and its application to record linkage
by Huiping Xu & Xiaochun Li & Zuoyi Zhang & Shaun Grannis - 1688-1720 Contour models for physical boundaries enclosing star‐shaped and approximately star‐shaped polygons
by Hannah M. Director & Adrian E. Raftery - 1721-1752 The saturated pairwise interaction Gibbs point process as a joint species distribution model
by Ian Flint & Nick Golding & Peter Vesk & Yan Wang & Aihua Xia - 1753-1786 Sequential one‐step estimator by sub‐sampling for customer churn analysis with massive data sets
by Feifei Wang & Danyang Huang & Tianchen Gao & Shuyuan Wu & Hansheng Wang - 1787-1821 Efficient estimation of the marginal mean of recurrent events
by Giuliana Cortese & Thomas H. Scheike - 1822-1864 A Bayesian model for estimating Sustainable Development Goal indicator 4.1.2: School completion rates
by Ameer Dharamshi & Bilal Barakat & Leontine Alkema & Manos Antoninis - 1865-1894 Flexible domain prediction using mixed effects random forests
by Patrick Krennmair & Timo Schmid - 1895-1917 Optimal approximate choice designs for a two‐step coffee choice, taste and choice again experiment
by Nedka Dechkova Nikiforova & Rossella Berni & Jesús Fernando López‐Fidalgo - 1918-1956 Non‐parametric calibration of multiple related radiocarbon determinations and their calendar age summarisation
by Timothy J. Heaton - 1957-1977 Derivation of maternal dietary patterns accounting for regional heterogeneity
by Briana J. K. Stephenson & Amy H. Herring & Andrew F. Olshan - 1978-1995 Bayesian multi‐level mixed‐effects model for influenza dynamics
by Hanwen Huang - 1996-2013 Combining cytotoxic agents with continuous dose levels in seamless phase I‐II clinical trials
by José L. Jiménez & Mourad Tighiouart - 2014-2037 Bayesian modelling strategies for borrowing of information in randomised basket trials
by Luke O. Ouma & Michael J. Grayling & James M. S. Wason & Haiyan Zheng
August 2022, Volume 71, Issue 4
- 773-805 Exploring British accents: Modelling the trap–bath split with functional data analysis
by Aranya Koshy & Shahin Tavakoli - 806-833 Highly irregular functional generalized linear regression with electronic health records
by Justin Petrovich & Matthew Reimherr & Carrie Daymont - 834-860 Bayesian imputation of COVID‐19 positive test counts for nowcasting under reporting lag
by Radka Jersakova & James Lomax & James Hetherington & Brieuc Lehmann & George Nicholson & Mark Briers & Chris Holmes - 861-883 Multifidelity computer model emulation with high‐dimensional output: An application to storm surge
by Pulong Ma & Georgios Karagiannis & Bledar A. Konomi & Taylor G. Asher & Gabriel R. Toro & Andrew T. Cox - 884-905 Modelling the extremes of seasonal viruses and hospital congestion: The example of flu in a Swiss hospital
by Setareh Ranjbar & Eva Cantoni & Valérie Chavez‐Demoulin & Giampiero Marra & Rosalba Radice & Katia Jaton - 906-931 Improving cardio‐mechanic inference by combining in vivo strain data with ex vivo volume–pressure data
by Alan Lazarus & Hao Gao & Xiaoyu Luo & Dirk Husmeier - 932-950 The modelling of movement of multiple animals that share behavioural features
by Gianluca Mastrantonio - 951-968 A Bayesian multi‐region radial composite reservoir model for deconvolution in well test analysis
by Themistoklis Botsas & Jonathan A. Cumming & Ian H. Jermyn - 969-986 Analysing cycling sensors data through ordinal logistic regression with functional covariates
by Julien Jacques & Sanja Samardžić - 987-1013 Reliability analysis of artificial intelligence systems using recurrent events data from autonomous vehicles
by Jie Min & Yili Hong & Caleb B. King & William Q. Meeker - 1014-1043 A nearest‐neighbour Gaussian process spatial factor model for censored, multi‐depth geochemical data
by Tilman M. Davies & Sudipto Banerjee & Adam P. Martin & Rose E. Turnbull - 1044-1062 A unifying framework for flexible excess hazard modelling with applications in cancer epidemiology
by Alessia Eletti & Giampiero Marra & Manuela Quaresma & Rosalba Radice & Francisco Javier Rubio
June 2022, Volume 71, Issue 3
- 495-516 A semi‐parametric integer‐valued autoregressive model with covariates
by Yao Rao & David Harris & Brendan McCabe - 517-540 Inferring the sources of HIV infection in Africa from deep‐sequence data with semi‐parametric Bayesian Poisson flow models
by Xiaoyue Xi & Simon E. F. Spencer & Matthew Hall & M. Kate Grabowski & Joseph Kagaayi & Oliver Ratmann & Rakai Health Sciences Program and PANGEA‐HIV - 541-561 Regularized regression on compositional trees with application to MRI analysis
by Bingkai Wang & Brian S. Caffo & Xi Luo & Chin‐Fu Liu & Andreia V. Faria & Michael I. Miller & Yi Zhao & for the Alzheimer's Disease Neuroimaging Initiative* - 562-588 Posterior summaries of grocery retail topic models: Evaluation, interpretability and credibility
by Mariflor Vega Carrasco & Ioanna Manolopoulou & Jason O'Sullivan & Rosie Prior & Mirco Musolesi - 589-612 Zero‐state coupled Markov switching count models for spatio‐temporal infectious disease spread
by Dirk Douwes‐Schultz & Alexandra M. Schmidt - 613-638 A Bayesian non‐linear state space copula model for air pollution in Beijing
by Alexander Kreuzer & Luciana Dalla Valle & Claudia Czado - 639-668 Predicting phenotypes from brain connection structure
by Subharup Guha & Rex Jung & David Dunson - 669-697 Generalizing trial evidence to target populations in non‐nested designs: Applications to AIDS clinical trials
by Fan Li & Ashley L. Buchanan & Stephen R. Cole - 698-722 Modelling clusters of corporate defaults: Regime‐switching models significantly reduce the contagion source
by Geir D. Berentsen & Jan Bulla & Antonello Maruotti & Bård Støve - 723-738 Assessing seismic origin of geological features by fitting equidistant parallel lines
by P.E. Jupp & I.B.J. Goudie & R.A. Batchelor & R.J.B. Goudie - 739-769 A dynamic structural equation approach to estimate the short‐term effects of air pollution on human health
by Dani Gamerman & Luigi Ippoliti & Pasquale Valentini
March 2022, Volume 71, Issue 2
- 271-287 A Bayesian spatio‐network model for multiple adolescent adverse health behaviours
by George Gerogiannis & Mark Tranmer & Duncan Lee & Thomas Valente - 288-308 The Bayesian Spatial Bradley–Terry model: Urban deprivation modelling in Tanzania
by Rowland G. Seymour & David Sirl & Simon P. Preston & Ian L. Dryden & Madeleine J. A. Ellis & Bertrand Perrat & James Goulding - 309-330 Ranking tailoring variables for constructing individualized treatment rules: An application to schizophrenia
by Jiacheng Wu & Nina Galanter & Susan M. Shortreed & Erica E.M. Moodie - 331-351 Gaussian process modeling for dissolution curve comparisons
by Tony Pourmohamad & Cristian M. Oliva Avilés & Robert Richardson - 352-375 Outcome‐guided sparse K‐means for disease subtype discovery via integrating phenotypic data with high‐dimensional transcriptomic data
by Lingsong Meng & Dorina Avram & George Tseng & Zhiguang Huo - 376-394 Real‐time prediction of severe influenza epidemics using extreme value statistics
by Maud Thomas & Holger Rootzén - 395-416 Transformation model based regression with dependently truncated and independently censored data
by Jing Qian & Sy Han Chiou & Rebecca A. Betensky - 417-448 Quantile mixed hidden Markov models for multivariate longitudinal data: An application to children's Strengths and Difficulties Questionnaire scores
by Luca Merlo & Lea Petrella & Nikos Tzavidis - 449-466 Forecasting high‐frequency spatio‐temporal wind power with dimensionally reduced echo state networks
by Huang Huang & Stefano Castruccio & Marc G. Genton - 467-490 Lifting scheme for streamflow data in river networks
by Seoncheol Park & Hee‐Seok Oh - 491-492 Erratum
by Suyu Liu & Ying Yuan
January 2022, Volume 71, Issue 1
- 3-26 Estimating mean lifetime from partially observed events in nuclear physics
by Juha Karvanen & Mikko Niilo‐Rämä & Jan Sarén & Salme Kärkkäinen - 27-50 Characteristic and necessary minutiae in fingerprints
by Johannes Wieditz & Yvo Pokern & Dominic Schuhmacher & Stephan Huckemann - 51-69 Nonparametric k‐sample test on shape spaces with applications to mitochondrial shape analysis
by Ruiyi Zhang & R. Todd Ogden & Martin Picard & Anuj Srivastava - 70-90 Using social contact data to improve the overall effect estimate of a cluster‐randomized influenza vaccination program in Senegal
by Gail E. Potter & Nicole Bohme Carnegie & Jonathan D. Sugimoto & Aldiouma Diallo & John C. Victor & Kathleen M. Neuzil & M. Elizabeth Halloran - 91-118 Urnings: A new method for tracking dynamically changing parameters in paired comparison systems
by Maria Bolsinova & Gunter Maris & Abe D. Hofman & Han L. J. van der Maas & Matthieu J. S. Brinkhuis - 119-147 Estimation of large block structured covariance matrices: Application to ‘multi‐omic’ approaches to study seed quality
by M. Perrot‐Dockès & C. Lévy‐Leduc & L. Rajjou - 148-174 Daily mortality/morbidity and air quality: Using multivariate time series with seasonally varying covariances
by Guowen Huang & Patrick E. Brown & Sze Hang Fu & Hwashin Hyun Shin - 175-193 A discrete kernel stick‐breaking model for detecting spatial boundaries in hydraulic fracturing wastewater disposal well placement across Ohio
by Joshua L. Warren & Jiachen Cai & Nicholaus P. Johnson & Nicole C. Deziel - 194-218 Pólya‐gamma data augmentation and latent variable models for multivariate binomial data
by John B. Holmes & Matthew R. Schofield & Richard J. Barker - 219-243 Multiple comparison procedures for discrete uniform and homogeneous tests
by Marta Cousido‐Rocha & Jacobo de Uña‐Álvarez & Sebastian Döhler - 244-268 Second‐order semi‐parametric inference for multivariate log Gaussian Cox processes
by Kristian Bjørn Hessellund & Ganggang Xu & Yongtao Guan & Rasmus Waagepetersen
November 2021, Volume 70, Issue 5
- 1143-1163 Mixed‐frequency Bayesian predictive synthesis for economic nowcasting
by Kenichiro McAlinn - 1164-1186 Estimating the effect of health service delivery interventions on patient length of stay: A Bayesian survival analysis approach
by Samuel I. Watson & Richard J. Lilford & Jianxia Sun & Julian Bion - 1187-1209 Semiparametric model averaging prediction for lifetime data via hazards regression
by Jialiang Li & Tonghui Yu & Jing Lv & Mei‐Ling Ting Lee - 1210-1229 A Bayesian phase I/II design for cancer clinical trials combining an immunotherapeutic agent with a chemotherapeutic agent
by Beibei Guo & Elizabeth Garrett‐Mayer & Suyu Liu - 1230-1258 Accounting for missing actors in interaction network inference from abundance data
by Raphaëlle Momal & Stéphane Robin & Christophe Ambroise - 1259-1280 Dynamic historical data borrowing using weighted average
by Chenghao Chu & Bingming Yi - 1281-1298 Response‐adaptive rerandomization
by Hengtao Zhang & Guosheng Yin - 1299-1322 Fused graphical lasso for brain networks with symmetries
by Saverio Ranciati & Alberto Roverato & Alessandra Luati - 1323-1343 A Bayesian nonparametric analysis of the 2003 outbreak of highly pathogenic avian influenza in the Netherlands
by Rowland G. Seymour & Theodore Kypraios & Philip D. O’Neill & Thomas J. Hagenaars - 1344-1364 Reducing the number of experiments required for modelling the hydrocracking process with kriging through Bayesian transfer learning
by Loïc Iapteff & Julien Jacques & Matthieu Rolland & Benoit Celse - 1365-1390 Beyond unidimensional poverty analysis using distributional copula models for mixed ordered‐continuous outcomes
by Maike Hohberg & Francesco Donat & Giampiero Marra & Thomas Kneib - 1391-1412 Bayesian sparse mediation analysis with targeted penalization of natural indirect effects
by 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 & Bhramar Mukherjee
August 2021, Volume 70, Issue 4
- 815-834 Phase I clinical trials in adoptive T‐cell therapies
by Sean M. Devlin & Alexia Iasonos & John O’Quigley - 835-857 Bayesian criterion‐based variable selection
by Arnab Kumar Maity & Sanjib Basu & Santu Ghosh - 858-885 Accelerating Bayesian estimation for network Poisson models using frequentist variational estimates
by Sophie Donnet & Stéphane Robin - 886-908 A computationally efficient Bayesian seemingly unrelated regressions model for high‐dimensional quantitative trait loci discovery
by Leonardo Bottolo & Marco Banterle & Sylvia Richardson & Mika Ala‐Korpela & Marjo‐Riitta Järvelin & Alex Lewin - 909-933 Censored regression for modelling small arms trade volumes and its ‘Forensic’ use for exploring unreported trades
by Michael Lebacher & Paul W. Thurner & Göran Kauermann - 934-960 A two‐field geostatistical model combining point and areal observations—A case study of annual runoff predictions in the Voss area
by Thea Roksvåg & Ingelin Steinsland & Kolbjørn Engeland - 961-979 A Bayesian nonparametric analysis for zero‐inflated multivariate count data with application to microbiome study
by Kurtis Shuler & Samuel Verbanic & Irene A. Chen & Juhee Lee - 980-1000 Sparse reduced‐rank regression for exploratory visualisation of paired multivariate data
by Dmitry Kobak & Yves Bernaerts & Marissa A. Weis & Federico Scala & Andreas S. Tolias & Philipp Berens - 1001-1026 Prediction in high‐dimensional linear models and application to genomic selection under imperfect linkage disequilibrium
by Charles‐Elie Rabier & Simona Grusea - 1027-1048 Assessing the reproducibility of microbiome measurements based on concordance correlation coefficients
by Ying Cui & Limin Peng & Yijuan Hu & HuiChuan J. Lai - 1049-1082 Inference about complex relationships using peak height data from DNA mixtures
by Peter J. Green & Julia Mortera - 1083-1102 Pricing wind power futures
by Wolfgang Karl Härdle & Brenda López Cabrera & Awdesch Melzer - 1103-1123 The application of continuous‐time Markov chain models in the analysis of choice flume experiments
by Michael A. Spence & Evalyne W. Muiruri & David L. Maxwell & Scott Davis & Dave Sheahan - 1124-1139 RNN‐based counterfactual prediction, with an application to homestead policy and public schooling
by Jason Poulos & Shuxi Zeng
June 2021, Volume 70, Issue 3
- 511-531 A model‐free approach for testing association
by Saptarshi Chatterjee & Shrabanti Chowdhury & Sanjib Basu - 532-557 Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data
by Kelly R. Moran & Elizabeth L. Turner & David Dunson & Amy H. Herring - 558-578 Clustering based on Kolmogorov–Smirnov statistic with application to bank card transaction data
by Yingqiu Zhu & Qiong Deng & Danyang Huang & Bingyi Jing & Bo Zhang - 579-595 Assessing daily patterns using home activity sensors and within period changepoint detection
by Simon A. C. Taylor & Rebecca Killick & Jonathan Burr & Louise Rogerson - 596-618 Optimal block designs for experiments on networks
by Vasiliki Koutra & Steven G. Gilmour & Ben M. Parker - 619-644 Time matters: How default resolution times impact final loss rates
by Jennifer Betz & Ralf Kellner & Daniel Rösch - 645-666 Bayesian modelling for spatially misaligned health areal data: A multiple membership approach
by Marco Gramatica & Peter Congdon & Silvia Liverani - 667-690 Estimation of the size of informal employment based on administrative records with non‐ignorable selection mechanism
by Maciej Berȩsewicz & Dagmara Nikulin - 691-713 Functional data analysis and visualisation of three‐dimensional surface shape
by Stanislav Katina & Liberty Vittert & Adrian W. Bowman - 714-732 Clustering and automatic labelling within time series of categorical observations—with an application to marine log messages
by Emanuele Gramuglia & Geir Storvik & Morten Stakkeland - 733-749 Mapping malaria by sharing spatial information between incidence and prevalence data sets
by 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 & Daniel J. Weiss - 750-769 Adjusting for population differences using machine learning methods
by Lauren Cappiello & Zhiwei Zhang & Changyu Shen & Neel M. Butala & Xinping Cui & Robert W. Yeh - 770-792 Likelihood‐free parameter estimation for dynamic queueing networks: Case study of passenger flow in an international airport terminal
by Anthony Ebert & Ritabrata Dutta & Kerrie Mengersen & Antonietta Mira & Fabrizio Ruggeri & Paul Wu - 793-812 Multisensor fusion of remotely sensed vegetation indices using space‐time dynamic linear models
by Margaret C Johnson & Brian J Reich & Josh M Gray
March 2021, Volume 70, Issue 2
- 251-269 Finite mixtures of semiparametric Bayesian survival kernel machine regressions: Application to breast cancer gene pathway subgroup analysis
by Lin Zhang & Inyoung Kim - 270-290 Quantile‐frequency analysis and spectral measures for diagnostic checks of time series with nonlinear dynamics
by Ta‐Hsin Li - 291-311 Threshold‐based subgroup testing in logistic regression models in two‐phase sampling designs
by Ying Huang & Juhee Cho & Youyi Fong - 312-334 Robust estimation for small domains in business surveys
by Paul A. Smith & Chiara Bocci & Nikos Tzavidis & Sabine Krieg & Marc J. E. Smeets - 335-350 Future proofing a building design using history matching inspired level‐set techniques
by Evan Baker & Peter Challenor & Matt Eames - 351-371 Recurrent events modelling of haemophilia bleeding events
by Andrew C. Titman & Martin J. Wolfsegger & Thomas F. Jaki - 372-397 Multiscale null hypothesis testing for network‐valued data: Analysis of brain networks of patients with autism
by Ilenia Lovato & Alessia Pini & Aymeric Stamm & Maxime Taquet & Simone Vantini - 398-414 Bayesian semi‐parametric G‐computation for causal inference in a cohort study with MNAR dropout and death
by Maria Josefsson & Michael J. Daniels - 415-433 Inferring bivariate association from respondent‐driven sampling data
by Dongah Kim & Krista J. Gile & Honoria Guarino & Pedro Mateu‐Gelabert - 434-458 Long‐term trend analysis of extreme coastal sea levels with changepoint detection
by Mintaek Lee & Jaechoul Lee - 459-480 A Bayesian nonparametric model for textural pattern heterogeneity
by Xiao Li & Michele Guindani & Chaan S. Ng & Brian P. Hobbs - 481-506 Finding your feet: A Gaussian process model for estimating the abilities of batsmen in test cricket
by Oliver G. Stevenson & Brendon J. Brewer
January 2021, Volume 70, Issue 1
- 3-23 Random effects dynamic panel models for unequally spaced multivariate categorical repeated measures: an application to child–parent exchanges of support
by Fiona Steele & Emily Grundy - 24-50 Bayesian varying coefficient model with selection: An application to functional mapping
by Benjamin Heuclin & Frédéric Mortier & Catherine Trottier & Marie Denis - 51-65 Stacked inverse probability of censoring weighted bagging: A case study in the InfCareHIV Register
by Pablo Gonzalez Ginestet & Ales Kotalik & David M. Vock & Julian Wolfson & Erin E. Gabriel - 66-79 Functional ensemble survival tree: Dynamic prediction of Alzheimer’s disease progression accommodating multiple time‐varying covariates
by Shu Jiang & Yijun Xie & Graham A. Colditz - 80-97 A non‐parametric Hawkes process model of primary and secondary accidents on a UK smart motorway
by Kieran Kalair & Colm Connaughton & Pierfrancesco Alaimo Di Loro - 98-121 Quantifying the trendiness of trends
by Andreas Kryger Jensen & Claus Thorn Ekstrøm - 122-146 M‐quantile regression for multivariate longitudinal data with an application to the Millennium Cohort Study
by Marco Alfò & Maria Francesca Marino & Maria Giovanna Ranalli & Nicola Salvati & Nikos Tzavidis - 147-173 Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective
by Edgar Santos‐Fernandez & Erin E. Peterson & Julie Vercelloni & Em Rushworth & Kerrie Mengersen - 174-201 A Bayesian approach for determining player abilities in football
by Gavin A. Whitaker & Ricardo Silva & Daniel Edwards & Ioannis Kosmidis - 202-225 Sequential aggregation of probabilistic forecasts—Application to wind speed ensemble forecasts
by Michaël Zamo & Liliane Bel & Olivier Mestre - 226-247 Modelling time‐varying mobility flows using function‐on‐function regression: Analysis of a bike sharing system in the city of Milan
by Agostino Torti & Alessia Pini & Simone Vantini
November 2020, Volume 69, Issue 5
- 1015-1065 Linear mixed effects models for non‐Gaussian continuous repeated measurement data
by Özgür Asar & David Bolin & Peter J. Diggle & Jonas Wallin - 1067-1090 Burglary in London: insights from statistical heterogeneous spatial point processes
by Jan Povala & Seppo Virtanen & Mark Girolami - 1091-1119 Sensitivity analysis for publication bias in meta‐analyses
by Maya B. Mathur & Tyler J. VanderWeele - 1121-1144 A hierarchical mixed effect hurdle model for spatiotemporal count data and its application to identifying factors impacting health professional shortages
by Soutik Ghosal & Timothy S. Lau & Jeremy Gaskins & Maiying Kong - 1145-1162 Landmark proportional subdistribution hazards models for dynamic prediction of cumulative incidence functions
by Qing Liu & Gong Tang & Joseph P. Costantino & Chung‐Chou H. Chang - 1163-1187 Cluster analysis of microbiome data by using mixtures of Dirichlet–multinomial regression models
by Sanjeena Subedi & Drew Neish & Stephen Bak & Zeny Feng - 1189-1208 Nested g‐computation: a causal approach to analysis of censored medical costs in the presence of time‐varying treatment
by Andrew J. Spieker & Emily M. Ko & Jason A. Roy & Nandita Mitra - 1209-1226 On the interplay between exposure misclassification and informative cluster size
by Glen McGee & Marianthi‐Anna Kioumourtzoglou & Marc G. Weisskopf & Sebastien Haneuse & Brent A. Coull - 1227-1249 One‐class classification with application to forensic analysis
by Francesca Fortunato & Laura Anderlucci & Angela Montanari - 1251-1268 Adding measurement error to location data to protect subject confidentiality while allowing for consistent estimation of exposure effects
by Mahesh Karra & David Canning & Ryoko Sato - 1269-1283 Bayesian analysis of tests with unknown specificity and sensitivity
by Andrew Gelman & Bob Carpenter - 1285-1305 A calibrated sensitivity analysis for matched observational studies with application to the effect of second‐hand smoke exposure on blood lead levels in children
by Bo Zhang & Dylan S. Small - 1307-1336 A Bayesian quest for finding a unified model for predicting volleyball games
by Leonardo Egidi & Ioannis Ntzoufras - 1337-1356 Markov switching modelling of shooting performance variability and teammate interactions in basketball
by Marco Sandri & Paola Zuccolotto & Marica Manisera - 1357-1374 Circular regression trees and forests with an application to probabilistic wind direction forecasting
by Moritz N. Lang & Lisa Schlosser & Torsten Hothorn & Georg J. Mayr & Reto Stauffer & Achim Zeileis
August 2020, Volume 69, Issue 4
- 711-739 Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market
by Federica Bianchi & Francesco Bartolucci & Stefano Peluso & Antonietta Mira - 741-764 Causal mechanism of extreme river discharges in the upper Danube basin network
by Linda Mhalla & Valérie Chavez‐Demoulin & Debbie J. Dupuis - 765-789 Inference for extreme values under threshold‐based stopping rules
by Anna Maria Barlow & Chris Sherlock & Jonathan Tawn - 791-814 A hybrid approach for the stratified mark‐specific proportional hazards model with missing covariates and missing marks, with application to vaccine efficacy trials
by Yanqing Sun & Li Qi & Fei Heng & Peter B. Gilbert - 815-839 Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking
by Oliver Stoner & Gavin Shaddick & Theo Economou & Sophie Gumy & Jessica Lewis & Itzel Lucio & Giulia Ruggeri & Heather Adair‐Rohani - 841-861 Small sample corrections for Wald tests in latent variable models
by Brice Ozenne & Patrick M. Fisher & Esben Budtz‐J⊘rgensen - 863-886 Modelling fuel injector spray characteristics in jet engines by using vine copulas
by Maximilian Coblenz & Simon Holz & Hans‐Jörg Bauer & Oliver Grothe & Rainer Koch - 887-907 Simulating gene silencing through intervention analysis
by Vera Djordjilović & Monica Chiogna & Chiara Romualdi - 909-929 Global forensic geolocation with deep neural networks
by Neal S. Grantham & Brian J. Reich & Eric B. Laber & Krishna Pacifici & Robert R. Dunn & Noah Fierer & Matthew Gebert & Julia S. Allwood & Seth A. Faith - 931-951 Fault isolation for a complex decentralized waste water treatment facility
by Molly C. Klanderman & Kathryn B. Newhart & Tzahi Y. Cath & Amanda S. Hering - 953-971 Estimating the binary endogenous effect of insurance on doctor visits by copula‐based regression additive models
by Giampiero Marra & Rosalba Radice & David M. Zimmer - 973-989 Statistical inference on tree swallow migrations with random forests
by Tim Coleman & Lucas Mentch & Daniel Fink & Frank A. La Sorte & David W. Winkler & Giles Hooker & Wesley M. Hochachka - 991-1012 The use of sampling weights in M‐quantile random‐effects regression: an application to Programme for International Student Assessment mathematics scores
by Francesco Schirripa Spagnolo & Nicola Salvati & Antonella D’Agostino & Ides Nicaise
June 2020, Volume 69, Issue 3
- 503-524 Robust and adaptive anticoagulant control
by Peter Avery & Quentin Clairon & Robin Henderson & C. James Taylor & Emma Wilson - 525-545 Structured penalized regression for drug sensitivity prediction
by Zhi Zhao & Manuela Zucknick - 547-564 Multiple imputation of binary multilevel missing not at random data
by Angelina Hammon & Sabine Zinn - 565-587 Variable selection in functional linear concurrent regression
by Rahul Ghosal & Arnab Maity & Timothy Clark & Stefano B. Longo - 589-606 A joint confidence region for an overall ranking of populations
by Martin Klein & Tommy Wright & Jerzy Wieczorek - 607-621 An optimal design for hierarchical generalized group testing
by Yaakov Malinovsky & Gregory Haber & Paul S. Albert - 623-640 A novel regularized approach for functional data clustering: an application to milking kinetics in dairy goats
by C. Denis & E. Lebarbier & C. Lévy‐Leduc & O. Martin & L. Sansonnet - 641-661 Generalized partially linear models on Riemannian manifolds
by Amelia Simó & M. Victoria Ibáñez & Irene Epifanio & Vicent Gimeno - 663-680 A Bayesian group sequential small n sequential multiple‐assignment randomized trial
by Yan‐Cheng Chao & Thomas M. Braun & Roy N. Tamura & Kelley M. Kidwell - 681-696 A spatially varying distributed lag model with application to an air pollution and term low birth weight study
by Joshua L. Warren & Thomas J. Luben & Howard H. Chang - 697-708 The harmonic mean χ2‐test to substantiate scientific findings
by Leonhard Held
April 2020, Volume 69, Issue 2
- 223-250 Modelling the spatial extent and severity of extreme European windstorms
by Paul Sharkey & Jonathan A. Tawn & Simon J. Brown - 251-275 The analysis of transformations for profit‐and‐loss data
by Anthony C. Atkinson & Marco Riani & Aldo Corbellini - 277-300 Efficient data augmentation for multivariate probit models with panel data: an application to general practitioner decision making about contraceptives
by Vincent Chin & David Gunawan & Denzil G. Fiebig & Robert Kohn & Scott A. Sisson - 301-325 Bayesian protein sequence and structure alignment
by Christopher J. Fallaize & Peter J. Green & Kanti V. Mardia & Stuart Barber - 327-352 Estimating seal pup production in the Greenland Sea by using Bayesian hierarchical modelling
by Martin Jullum & Thordis Thorarinsdottir & Fabian E. Bachl - 353-375 Estimation and inference in mixed effect regression models using shape constraints, with application to tree height estimation
by Xiyue Liao & Mary C. Meyer - 377-392 Modelling environmental DNA data; Bayesian variable selection accounting for false positive and false negative errors
by Jim E. Griffin & Eleni Matechou & Andrew S. Buxton & Dimitrios Bormpoudakis & Richard A. Griffiths - 393-411 Using Cox regression to develop linear rank tests with zero‐inflated clustered data
by Stuart R. Lipsitz & Garrett M. Fitzmaurice & Debajyoti Sinha & Alexander P. Cole & Christian P. Meyer & Quoc‐Dien Trinh - 413-427 Assessing heterogeneity in transition propensity in multistate capture–recapture data
by Anita Jeyam & Rachel McCrea & Roger Pradel - 429-457 A flexible parametric modelling framework for survival analysis
by Kevin Burke & M. C. Jones & Angela Noufaily - 459-481 Bayesian hierarchical modelling of growth curve derivatives via sequences of quotient differences
by Garritt L. Page & María Xosé Rodríguez‐Álvarez & Dae‐Jin Lee - 483-500 Factor‐augmented Bayesian cointegration models: a case‐study on the soybean crush spread
by Maciej Marowka & Gareth W. Peters & Nikolas Kantas & Guillaume Bagnarosa
January 2020, Volume 69, Issue 1
- 3-23 Analysis of tornado reports through replicated spatiotemporal point patterns
by Jonatan A. González & Ute Hahn & Jorge Mateu