2021

Volume 70, n° 4, August 2021

  • Shuler K, Verbanic S, Chen IA, Lee J. A Bayesian nonparametric analysis for zero-inflated multivariate count data with application to microbiome study, pp. 961-979. doi:10.1111/rssc.12493
  • Bottolo L, Banterle M, Richardson S, Ala-Korpela M, Järvelin M-R, Lewin A. A computationally efficient Bayesian seemingly unrelated regressions model for high-dimensional quantitative trait loci discovery, pp. 886-908. doi:10.1111/rssc.12490
  • Roksvåg T, Steinsland I, Engeland K. A two-field geostatistical model combining point and areal observations—A case study of annual runoff predictions in the Voss area, pp. 934-960. doi:10.1111/rssc.12492
  • Donnet S, Robin S. Accelerating Bayesian estimation for network Poisson models using frequentist variational estimates, pp. 858-885. doi:10.1111/rssc.12489
  • Cui Y, Peng L, Hu Y, Lai HJ. Assessing the reproducibility of microbiome measurements based on concordance correlation coefficients, pp. 1027-1048. doi:10.1111/rssc.12497
  • Maity AK, Basu S, Ghosh S. Bayesian criterion-based variable selection, pp. 835-857. doi:10.1111/rssc.12488
  • Lebacher M, Thurner PW, Kauermann G. Censored regression for modelling small arms trade volumes and its ‘Forensic’ use for exploring unreported trades, pp. 909-933. doi:10.1111/rssc.12491
  • Green PJ, Mortera J. Inference about complex relationships using peak height data from DNA mixtures, pp. 1049-1082. doi:10.1111/rssc.12498
  • Devlin SM, Iasonos A, O’Quigley J. Phase I clinical trials in adoptive T-cell therapies, pp. 815-834. doi:10.1111/rssc.12485
  • Rabier C-E, Grusea S. Prediction in high-dimensional linear models and application to genomic selection under imperfect linkage disequilibrium, pp. 1001-1026. doi:10.1111/rssc.12496
  • Härdle WK, Cabrera BL, Melzer A. Pricing wind power futures, pp. 1083-1102. doi:10.1111/rssc.12499
  • Poulos J, Zeng S. RNN-based counterfactual prediction, with an application to homestead policy and public schooling, pp. 1124-1139. doi:10.1111/rssc.12511
  • Kobak D, Bernaerts Y, Weis MA, Scala F, Tolias AS, Berens P. Sparse reduced-rank regression for exploratory visualisation of paired multivariate data, pp. 980-1000. doi:10.1111/rssc.12494
  • Spence MA, Muiruri EW, Maxwell DL, Davis S, Sheahan D. The application of continuous-time Markov chain models in the analysis of choice flume experiments, pp. 1103-1123. doi:10.1111/rssc.12510

(résumés du n° 4/2021) * en attente de la réception de la version papier *

Volume 83, n° 3, July 2021

  • Mourtada J, Gaïffas S, Scornet E. AMF: Aggregated Mondrian forests for online learning, pp. 505-533. doi:10.1111/rssb.12425
  • Wei B, Peng L, Zhang M-J, Fine JP. Estimation of causal quantile effects with a binary instrumental variable and censored data, pp. 559-578. doi:10.1111/rssb.12431
  • Li J, Maathuis MH. GGM knockoff filter: False discovery rate control for Gaussian graphical models, pp. 534-558. doi:10.1111/rssb.12430
  • Heng S, Kang H, Small DS, Fogarty CB. Increasing power for observational studies of aberrant response: An adaptive approach, pp. 482-504. doi:10.1111/rssb.12424
  • Lee M. Instrument residual estimator for any response variable with endogenous binary treatment, pp. 612-635. doi:10.1111/rssb.12442
  • Stokell BG, Shah RD, Tibshirani RJ. Modelling high-dimensional categorical data using nonconvex fusion penalties, pp. 579-611. doi:10.1111/rssb.12432
  • Reimherr M, Meng X-L, Nicolae DL. Prior sample size extensions for assessing prior impact and prior-likelihood discordance, pp. 413-437. doi:10.1111/rssb.12414
  • Kim S, Fay MP, Proschan MA. Valid and approximately valid confidence intervals for current status data, pp. 438-452. doi:10.1111/rssb.12422
  • Liu Y, Ročková V, Wang Y. Variable selection with ABC Bayesian forests, pp. 453-481. doi:10.1111/rssb.12423

(résumés du n° 3/2021) * en attente de la réception de la version papier *

Volume 70, n° 3, June 2021

  • Chatterjee S, Chowdhury S, Basu S. A model-free approach for testing association, pp. 511-531. doi:https://doi.org/10.1111/rssc.12467
  • Cappiello L, Zhang Z, Shen C, Butala NM, Cui X, Yeh RW. Adjusting for population differences using machine learning methods, pp. 750-769. doi:https://doi.org/10.1111/rssc.12486
  • Taylor SAC, Killick R, Burr J, Rogerson L. Assessing daily patterns using home activity sensors and within period changepoint detection, pp. 579-595. doi:https://doi.org/10.1111/rssc.12472
  • Moran KR, Turner EL, Dunson D, Herring AH. Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data, pp. 532-557. doi:https://doi.org/10.1111/rssc.12468
  • Gramatica M, Congdon P, Liverani S. Bayesian modelling for spatially misaligned health areal data: A multiple membership approach, pp. 645-666. doi:https://doi.org/10.1111/rssc.12480
  • Gramuglia E, Storvik G, Stakkeland M. Clustering and automatic labelling within time series of categorical observations—with an application to marine log messages, pp. 714-732. doi:https://doi.org/10.1111/rssc.12483
  • Zhu Y, Deng Q, Huang D, Jing B, Zhang B. Clustering based on Kolmogorov–Smirnov statistic with application to bank card transaction data, pp. 558-578. doi:https://doi.org/10.1111/rssc.12471
  • Berȩsewicz M, Nikulin D. Estimation of the size of informal employment based on administrative records with non-ignorable selection mechanism, pp. 667-690. doi:https://doi.org/10.1111/rssc.12481
  • Katina S, Vittert L, Bowman AW. Functional data analysis and visualisation of three-dimensional surface shape, pp. 691-713. doi:https://doi.org/10.1111/rssc.12482
  • Ebert A, Dutta R, Mengersen K, Mira A, Ruggeri F, Wu P. Likelihood-free parameter estimation for dynamic queueing networks: Case study of passenger flow in an international airport terminal, pp. 770-792. doi:https://doi.org/10.1111/rssc.12487
  • Lucas TCD, Nandi AK, Chestnutt EG, et al. Mapping malaria by sharing spatial information between incidence and prevalence data sets, pp. 733-749. doi:https://doi.org/10.1111/rssc.12484
  • Johnson MC, Reich BJ, Gray JM. Multisensor fusion of remotely sensed vegetation indices using space-time dynamic linear models, pp. 793-812. doi:https://doi.org/10.1111/rssc.12495
  • Koutra V, Gilmour SG, Parker BM. Optimal block designs for experiments on networks, pp. 596-618. doi:https://doi.org/10.1111/rssc.12473
  • Betz J, Kellner R, Rösch D. Time matters: How default resolution times impact final loss rates, pp. 619-644. doi:https://doi.org/10.1111/rssc.12474

Volume 70, n° 2, March 2021

  • Li X, Guindani M, Ng CS, Hobbs BP. - A Bayesian nonparametric model for textural pattern heterogeneity, pp. 459-480. doi:https://doi.org/10.1111/rssc.12469
  • Winston C. - Back to the Good—or Were They the Bad—Old Days of Antitrust? A Review Essay of Jonathan B. Baker’s The Antitrust Paradigm: Restoring a Competitive Economy, pp. 265-284. doi:10.1257/jel.20191619
  • Josefsson M, Daniels MJ. - Bayesian semi-parametric G-computation for causal inference in a cohort study with MNAR dropout and death, pp. 398-414. doi:https://doi.org/10.1111/rssc.12464
  • Hommes C. - Behavioral and Experimental Macroeconomics and Policy Analysis: A Complex Systems Approach, pp. 149-219. doi:10.1257/jel.20191434
  • Erten B, Korinek A, Ocampo JA. - Capital Controls: Theory and Evidence, pp. 45-89. doi:10.1257/jel.20191457
  • Wright R, Kircher P, Julien B, Guerrieri V. - Directed Search and Competitive Search Equilibrium: A Guided Tour, pp. 90-148. doi:10.1257/jel.20191505
  • Alfani G. - Economic Inequality in Preindustrial Times: Europe and Beyond, pp. 3-44. doi:10.1257/jel.20191449
  • Stevenson OG, Brewer BJ. - Finding your feet: A Gaussian process model for estimating the abilities of batsmen in test cricket, pp. 481-506. doi:https://doi.org/10.1111/rssc.12470
  • Zhang L, Kim I. - Finite mixtures of semiparametric Bayesian survival kernel machine regressions: Application to breast cancer gene pathway subgroup analysis, pp. 251-269. doi:https://doi.org/10.1111/rssc.12457
  • Baker E, Challenor P, Eames M. - Future proofing a building design using history matching inspired level-set techniques, pp. 335-350. doi:https://doi.org/10.1111/rssc.12461
  • Kim D, Gile KJ, Guarino H, Mateu‐Gelabert P. - Inferring bivariate association from respondent-driven sampling data, pp. 415-433. doi:https://doi.org/10.1111/rssc.12465
  • Lee M, Lee J. - Long-term trend analysis of extreme coastal sea levels with changepoint detection, pp. 434-458. doi:https://doi.org/10.1111/rssc.12466
  • Lovato I, Pini A, Stamm A, Taquet M, Vantini S. - Multiscale null hypothesis testing for network-valued data: Analysis of brain networks of patients with autism, pp. 372-397. doi:https://doi.org/10.1111/rssc.12463
  • Hausman JK. - Planning on the Potomac: A Review Essay on Jason E. Taylor’s Deconstructing the Monolith: The Microeconomics of the National Industrial Recovery Act, pp. 244-264. doi:10.1257/jel.20191568
  • Li T-H. - Quantile-frequency analysis and spectral measures for diagnostic checks of time series with nonlinear dynamics, pp. 270-290. doi:https://doi.org/10.1111/rssc.12458
  • Titman AC, Wolfsegger MJ, Jaki TF. - Recurrent events modelling of haemophilia bleeding events, pp. 351-371. doi:https://doi.org/10.1111/rssc.12462
  • Alexeev M. - Review of Russia’s Crony Capitalism: The Path from Market Economy to Kleptocracy by Anders Åslund, pp. 220-243. doi:10.1257/jel.20201566
  • Smith PA, Bocci C, Tzavidis N, Krieg S, Smeets MJE. - Robust estimation for small domains in business surveys, pp. 312-334. doi:https://doi.org/10.1111/rssc.12460
  • Huang Y, Cho J, Fong Y. - Threshold-based subgroup testing in logistic regression models in two-phase sampling designs, pp. 291-311. doi:https://doi.org/10.1111/rssc.12459

(résumés n° 2/2021)

Volume 70, n° 1, January 2021

  • Whitaker GA, Silva R, Edwards D, Kosmidis I. A Bayesian approach for determining player abilities in football, pp. 174-201. doi:https://doi.org/10.1111/rssc.12454
  • Kalair K, Connaughton C, Loro PAD. A non-parametric Hawkes process model of primary and secondary accidents on a UK smart motorway, pp. 80-97. doi:https://doi.org/10.1111/rssc.12450
  • Heuclin B, Mortier F, Trottier C, Denis M. Bayesian varying coefficient model with selection: An application to functional mapping, pp. 24-50. doi:https://doi.org/10.1111/rssc.12447
  • Santos‐Fernandez E, Peterson EE, Vercelloni J, Rushworth E, Mengersen K. Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective, pp. 147-173. doi:https://doi.org/10.1111/rssc.12453
  • Jiang S, Xie Y, Colditz GA. Functional ensemble survival tree: Dynamic prediction of Alzheimer’s disease progression accommodating multiple time-varying covariates, pp. 66-79. doi:https://doi.org/10.1111/rssc.12449
  • Alfò M, Marino MF, Ranalli MG, Salvati N, Tzavidis N. M-quantile regression for multivariate longitudinal data with an application to the Millennium Cohort Study, pp. 122-146. doi:https://doi.org/10.1111/rssc.12452
  • Torti A, Pini A, Vantini S. Modelling time-varying mobility flows using function-on-function regression: Analysis of a bike sharing system in the city of Milan, pp. 226-247. doi:https://doi.org/10.1111/rssc.12456
  • Jensen AK, Ekstrøm CT. Quantifying the trendiness of trends, pp. 98-121. doi:https://doi.org/10.1111/rssc.12451
  • Steele F, Grundy E. Random effects dynamic panel models for unequally spaced multivariate categorical repeated measures: an application to child–parent exchanges of support, pp. 3-23. doi:https://doi.org/10.1111/rssc.12446
  • Zamo M, Bel L, Mestre O. Sequential aggregation of probabilistic forecasts—Application to wind speed ensemble forecasts, pp. 202-225. doi:https://doi.org/10.1111/rssc.12455
  • Ginestet PG, Kotalik A, Vock DM, Wolfson J, Gabriel EE. Stacked inverse probability of censoring weighted bagging: A case study in the InfCareHIV Register, pp. 51-65. doi:https://doi.org/10.1111/rssc.12448

(résumés du n°1/2021)

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