{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T02:56:03Z","timestamp":1787021763920,"version":"build-2736575974"},"reference-count":58,"publisher":"Public Library of Science (PLoS)","issue":"4","license":[{"start":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T00:00:00Z","timestamp":1744243200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/publicdomain\/zero\/1.0\/"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"DOI":"10.1371\/journal.pcbi.1012898","type":"journal-article","created":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T13:23:18Z","timestamp":1744291398000},"page":"e1012898","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":2,"title":["Ten quick tips to get you started with Bayesian statistics"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7001-5142","authenticated-orcid":true,"given":"Olivier","family":"Gimenez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andy","family":"Royle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"K\u00e9ry","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7975-0108","authenticated-orcid":true,"given":"Chlo\u00e9 R.","family":"Nater","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2025,4,10]]},"reference":[{"issue":"1","key":"pcbi.1012898.ref001","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1111\/j.1461-0248.2004.00702.x","article-title":"Why environmental scientists are becoming Bayesians","volume":"8","author":"JS Clark","year":"2004","journal-title":"Ecol Lett"},{"issue":"1","key":"pcbi.1012898.ref002","article-title":"Bayesian statistics and modelling","volume":"1","author":"R van de Schoot","year":"2021","journal-title":"Nat Rev Methods Primers"},{"key":"pcbi.1012898.ref003","volume-title":"Doing Bayesian data analysis. A tutorial with R, JAGS and Stan","author":"JK Kruschke","year":"2015"},{"key":"pcbi.1012898.ref004","doi-asserted-by":"crossref","DOI":"10.1201\/9780429029608","volume-title":"Statistical rethinking: a Bayesian course with examples in R and Stan.","author":"R McElreath","year":"2020"},{"key":"pcbi.1012898.ref005","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511802454","volume-title":"Bayesian methods for ecology","author":"MA McCarthy","year":"2007"},{"key":"pcbi.1012898.ref006","doi-asserted-by":"crossref","DOI":"10.1002\/9780470094846","volume-title":"Maximum likelihood estimation and inference: with examples in R, SAS and ADMB","author":"RB Millar","year":"2011"},{"issue":"6","key":"pcbi.1012898.ref007","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1111\/j.1365-2664.2005.01101.x","article-title":"Profiting from prior information in Bayesian analyses of ecological data","volume":"42","author":"MA McCarthy","year":"2005","journal-title":"J Appl Ecol"},{"issue":"7","key":"pcbi.1012898.ref008","doi-asserted-by":"crossref","first-page":"912","DOI":"10.1111\/oik.05985","article-title":"Moving beyond noninformative priors: why and how to choose weakly informative priors in Bayesian analyses","volume":"128","author":"NP Lemoine","year":"2019","journal-title":"Oikos"},{"key":"pcbi.1012898.ref009","volume-title":"Applied statistical modelling for ecologists: a practical guide to Bayesian and likelihood inference using R, JAGS, NIMBLE, Stan and TMB","author":"M K\u00e9ry","year":"2024"},{"issue":"4","key":"pcbi.1012898.ref010","doi-asserted-by":"crossref","DOI":"10.1214\/23-BA1381","article-title":"Prior knowledge elicitation: the past, present, and future","volume":"19","author":"P Mikkola","year":"2024","journal-title":"Bayesian Anal"},{"issue":"6","key":"pcbi.1012898.ref011","doi-asserted-by":"crossref","first-page":"e1004961","DOI":"10.1371\/journal.pcbi.1004961","article-title":"Ten simple rules for effective statistical practice","volume":"12","author":"RE Kass","year":"2016","journal-title":"PLoS Comput Biol"},{"issue":"4","key":"pcbi.1012898.ref012","doi-asserted-by":"crossref","first-page":"e1010033","DOI":"10.1371\/journal.pcbi.1010033","article-title":"Ten simple rules for getting started with statistics in graduate school","volume":"18","author":"RA Zitomer","year":"2022","journal-title":"PLoS Comput Biol"},{"key":"pcbi.1012898.ref013","doi-asserted-by":"crossref","DOI":"10.1017\/9781139161879","volume-title":"Regression and other stories","author":"A Gelman","year":"2020"},{"issue":"2","key":"pcbi.1012898.ref014","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1111\/rssa.12378","article-title":"Visualization in Bayesian workflow","volume":"182","author":"J Gabry","year":"2019","journal-title":"J R Stat Soc A"},{"issue":"1","key":"pcbi.1012898.ref015","doi-asserted-by":"crossref","DOI":"10.1214\/23-STS907","article-title":"Past, present and future of software for Bayesian inference","volume":"39","author":"E \u0160trumbelj","year":"2024","journal-title":"Statist Sci"},{"key":"pcbi.1012898.ref016","first-page":"162","article-title":"convergence","volume-title":"Inference from simulations and monitoringHandbook of Markov Chain Monte Carlo","author":"A Gelman","year":"2011"},{"issue":"1","key":"pcbi.1012898.ref017","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1111\/2041-210X.14030","article-title":"A practical guide to understanding and validating complex models using data simulations","volume":"14","author":"GV DiRenzo","year":"2022","journal-title":"Methods Ecol Evol"},{"key":"pcbi.1012898.ref018","volume-title":"Applied hierarchical modeling in ecology: analysis of distribution, abundance and species richness in R and BUGS","author":"M K\u00e9ry","year":"2016"},{"key":"pcbi.1012898.ref019","doi-asserted-by":"crossref","DOI":"10.1201\/b16018","volume-title":"Bayesian data analysis","author":"A Gelman","year":"2013"},{"issue":"2","key":"pcbi.1012898.ref020","doi-asserted-by":"crossref","DOI":"10.1214\/20-BA1221","article-title":"Rank-normalization, folding, and localization: an improved R\u2218 for assessing convergence of MCMC (with Discussion)","volume":"16","author":"A Vehtari","year":"2021","journal-title":"Bayesian Anal"},{"issue":"4","key":"pcbi.1012898.ref021","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1002\/ecm.1314","article-title":"A guide to Bayesian model checking for ecologists","volume":"88","author":"PB Conn","year":"2018","journal-title":"Ecol Monogr"},{"key":"pcbi.1012898.ref022","first-page":"733","article-title":"Posterior predictive assessment of model fitness via realized discrepancies","volume":"6","author":"A Gelman","year":"1996","journal-title":"Stat Sin"},{"issue":"4","key":"pcbi.1012898.ref023","doi-asserted-by":"crossref","first-page":"383","DOI":"10.2307\/2982063","article-title":"Sampling and Bayes\u2019 inference in scientific modelling and robustness","volume":"143","author":"GEP Box","year":"1980","journal-title":"J R Stat Soc Ser A"},{"key":"pcbi.1012898.ref024","doi-asserted-by":"crossref","DOI":"10.1201\/9781315120003","volume-title":"Parameter redundancy and identifiability","author":"D Cole","year":"2020"},{"issue":"4","key":"pcbi.1012898.ref025","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1111\/j.0006-341X.2000.01055.x","article-title":"Latent class model diagnosis","volume":"56","author":"ES Garrett","year":"2000","journal-title":"Biometrics"},{"issue":"15","key":"pcbi.1012898.ref026","doi-asserted-by":"crossref","first-page":"1923","DOI":"10.1093\/bioinformatics\/btp358","article-title":"Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood","volume":"25","author":"A Raue","year":"2009","journal-title":"Bioinformatics"},{"issue":"2","key":"pcbi.1012898.ref027","doi-asserted-by":"crossref","DOI":"10.1214\/088342305000000098","article-title":"On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables","volume":"20","author":"P Gustafson","year":"2005","journal-title":"Stat Sci"},{"issue":"1","key":"pcbi.1012898.ref028","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1198\/106186008X287337","article-title":"Using redundant parameterizations to fit hierarchical models","volume":"17","author":"A Gelman","year":"2008","journal-title":"J Comput Graph Stat"},{"issue":"445","key":"pcbi.1012898.ref029","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1080\/01621459.1999.10473840","article-title":"Identifiability, improper priors, and gibbs sampling for generalized linear models","volume":"94","author":"AE Gelfand","year":"1999","journal-title":"J Am Stat Assoc"},{"issue":"3","key":"pcbi.1012898.ref030","doi-asserted-by":"crossref","first-page":"285","DOI":"10.2307\/3315930","article-title":"Bayesian identifiability and misclassification in multinomial data","volume":"32","author":"TB Swartz","year":"2004","journal-title":"Can J Stat"},{"issue":"17\u201318","key":"pcbi.1012898.ref031","doi-asserted-by":"crossref","first-page":"2279","DOI":"10.1002\/1097-0258(20000915\/30)19:17\/18<2279::AID-SIM569>3.0.CO;2-R","article-title":"Identifiability and convergence issues for Markov chain Monte Carlo fitting of spatial models","volume":"19","author":"LE Eberly","year":"2000","journal-title":"Stat Med"},{"issue":"430","key":"pcbi.1012898.ref032","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1080\/01621459.1995.10476572","article-title":"Bayes factors","volume":"90","author":"RE Kass","year":"1995","journal-title":"J Am Stat Assoc"},{"issue":"7","key":"pcbi.1012898.ref033","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1016\/j.tree.2022.03.007","article-title":"Joint reply to \u201cRewriting results in the language of compatibility\u201d by V. Amrhein and S. Greenland, and to \u201cThe evidence contained in the P-value is context dependent\u201d by F. Hartig and F. Barraquand","volume":"37","author":"S Muff","year":"2022","journal-title":"Trends Ecol Evol"},{"issue":"6","key":"pcbi.1012898.ref034","doi-asserted-by":"crossref","first-page":"e03336","DOI":"10.1002\/ecy.3336","article-title":"A practical guide to selecting models for exploration, inference, and prediction in ecology","volume":"102","author":"AT Tredennick","year":"2021","journal-title":"Ecology"},{"issue":"1","key":"pcbi.1012898.ref035","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1890\/14-0661.1","article-title":"A guide to Bayesian model selection for ecologists","volume":"85","author":"MB Hooten","year":"2015","journal-title":"Ecol Monogr"},{"key":"pcbi.1012898.ref036","first-page":"867","article-title":"A widely applicable Bayesian information criterion","volume":"14","author":"S Watanabe","year":"2013","journal-title":"J Mach Learn Res"},{"issue":"1","key":"pcbi.1012898.ref037","first-page":"1","article-title":"Pareto smoothed importance sampling","volume":"25","author":"A Vehtari","year":"2024","journal-title":"J Mach Learn Res"},{"key":"pcbi.1012898.ref038","doi-asserted-by":"crossref","first-page":"165","DOI":"10.2307\/271064","article-title":"Avoiding model selection in Bayesian social research","volume":"25","author":"A Gelman","year":"1995","journal-title":"Sociol Methodol"},{"issue":"5","key":"pcbi.1012898.ref039","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1002\/jwmg.891","article-title":"Iterating on a single model is a viable alternative to multimodel inference","volume":"79","author":"JM Ver Hoef","year":"2015","journal-title":"J Wild Manag"},{"issue":"6","key":"pcbi.1012898.ref040","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1111\/2041-210X.12044","article-title":"Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS","volume":"4","author":"BM Bolker","year":"2013","journal-title":"Methods Ecol Evol"},{"issue":"25","key":"pcbi.1012898.ref041","doi-asserted-by":"crossref","first-page":"3049","DOI":"10.1002\/sim.3680","article-title":"The BUGS project: evolution, critique and future directions","volume":"28","author":"D Lunn","year":"2009","journal-title":"Stat Med"},{"key":"pcbi.1012898.ref042","unstructured":"Plummer M. JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling. Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003), Vienna, 20\u201322 March 2003. 2003. p. 1\u201310."},{"key":"pcbi.1012898.ref043","author":"Stan Development Team.","year":"2024"},{"issue":"2","key":"pcbi.1012898.ref044","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1080\/10618600.2016.1172487","article-title":"Programming with models: writing statistical algorithms for general model structures with NIMBLE","volume":"26","author":"P de Valpine","year":"2017","journal-title":"J Comput Graph Stat"},{"issue":"2","key":"pcbi.1012898.ref045","doi-asserted-by":"crossref","DOI":"10.18637\/jss.v088.i02","article-title":"JASP: graphical statistical software for common statistical designs","volume":"88","author":"J Love","year":"2019","journal-title":"J Stat Soft"},{"key":"pcbi.1012898.ref046","doi-asserted-by":"crossref","first-page":"e1516","DOI":"10.7717\/peerj-cs.1516","article-title":"PyMC: a modern, and comprehensive probabilistic programming framework in Python","volume":"9","author":"O Abril-Pla","year":"2023","journal-title":"PeerJ Comput Sci"},{"issue":"1","key":"pcbi.1012898.ref047","article-title":"brms: An R package for Bayesian multilevel models using stan","volume":"80","author":"P-C B\u00fcrkner","year":"2017","journal-title":"J Stat Soft"},{"key":"pcbi.1012898.ref048","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.future.2017.01.012","article-title":"Scientific workflows for computational reproducibility in the life sciences: status, challenges and opportunities","volume":"75","author":"S Cohen-Boulakia","year":"2017","journal-title":"Future Gener Comput Syst"},{"issue":"1","key":"pcbi.1012898.ref049","doi-asserted-by":"crossref","first-page":"e01822","DOI":"10.1002\/eap.1822","article-title":"Open science, reproducibility, and transparency in ecology","volume":"29","author":"SM Powers","year":"2019","journal-title":"Ecol Appl"},{"issue":"5","key":"pcbi.1012898.ref050","doi-asserted-by":"crossref","first-page":"e9961","DOI":"10.1002\/ece3.9961","article-title":"Reproducibility in ecology and evolution: minimum standards for data and code","volume":"13","author":"GB Jenkins","year":"2023","journal-title":"Ecol Evol"},{"issue":"10","key":"pcbi.1012898.ref051","doi-asserted-by":"crossref","first-page":"2119","DOI":"10.1111\/2041-210X.13961","article-title":"A call for clean code to effectively communicate science","volume":"13","author":"A Filazzola","year":"2022","journal-title":"Methods Ecol Evol"},{"key":"pcbi.1012898.ref052","volume-title":"A guide to reproducible code in ecology and evolution","author":"N Cooper","year":"2017"},{"issue":"6","key":"pcbi.1012898.ref053","doi-asserted-by":"crossref","first-page":"1364","DOI":"10.1111\/2041-210X.14108","article-title":"Not just for programmers: How GitHub can accelerate collaborative and reproducible research in ecology and evolution","volume":"14","author":"PHP Braga","year":"2023","journal-title":"Methods Ecol Evol"},{"key":"pcbi.1012898.ref054","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511790942","volume-title":"Data analysis using regression and multilevel\/hierarchical models","author":"A Gelman","year":"2006"},{"key":"pcbi.1012898.ref055","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780192859013.001.0001","article-title":"Statistical modeling with R: a dual frequentist and Bayesian approach for life scientists","author":"P Inchausti","year":"2022"},{"key":"pcbi.1012898.ref056","doi-asserted-by":"crossref","DOI":"10.24926\/9781959870029","volume-title":"Statistics for ecologists: a frequentist and Bayesian treatment of modern regression models","author":"J Fieberg","year":"2024"},{"key":"pcbi.1012898.ref057","article-title":"A four-step Bayesian workflow for improving ecological science","author":"E Wolkovich","year":"2024","journal-title":"arXiv"},{"key":"pcbi.1012898.ref058","article-title":"Bayesian workflow","author":"A Gelman","year":"2020","journal-title":"arXiv"}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1012898","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T13:23:32Z","timestamp":1744291412000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1012898"}},"subtitle":[],"editor":[{"given":"Patricia M","family":"Palagi,","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2025,4,10]]},"references-count":58,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2025,4,10]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1012898","relation":{},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,10]]}}}