{"id":18560,"date":"2024-08-12T15:24:43","date_gmt":"2024-08-12T14:24:43","guid":{"rendered":"https:\/\/www.idiv.de\/?post_type=events&p=18560"},"modified":"2026-03-02T11:09:39","modified_gmt":"2026-03-02T10:09:39","slug":"introduction-to-bayesian-statistics-in-r","status":"publish","type":"events","link":"https:\/\/www.idiv.de\/de\/events\/introduction-to-bayesian-statistics-in-r\/","title":{"rendered":"Introduction to Bayesian Statistics in R"},"content":{"rendered":"
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Application<\/h4>\n
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Registration is closed.<\/p>\n <\/div>\n\n\n

\n Email <\/svg>\n <\/a>\n <\/div>\n <\/div>\n <\/div>\n
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Location<\/h4>\n
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iDiv Leipzig,
\nB.01.04 – Red Queen
\n& B.00.02 –\u00a0 Beehive<\/p>\n <\/div>\n\n\n <\/div>\n <\/div>\n

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Dates<\/h4>\n
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19 March 2026,
\n9:30am – 4pm (Red Queen)
\n26 March 2026,
\n9:30am – 4pm (Red Queen)
\n2 April 2026,
\n9:30am – 4pm (Beehive)
\n9 April 2026,
\n9:30am – 4pm (Beehive)<\/p>\n

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Credit points<\/h4>\n
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2.0 CP<\/p>\n <\/div>\n\n\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n\n

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Contents<\/h2>\n
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The course offers a straightforward and practical approach to applied statistics using Bayesian inference for ecologists. It starts with a general introduction to statistical modeling and the concepts of Bayesian statistics (likelihood, priors, posterior distribution, MCMC sampling). We will move step-by-step from classical ANOVA and linear regression to generalized, nonlinear, or mixed-effects models, with a strong conceptual focus on the building blocks of statistical models.<\/p>\n

While previous software required users to code in specific modeling languages (JAGS, Stan, NIMBLE), we are focusing on the user-friendly and flexible R-package \u2018brms\u2019, which makes the transition easy for people familiar with \u2018lm\u2019 or \u2018lme4\u2019. An additional introduction to coding in Stan will be provided for interested participants.<\/p>\n

Didactic aim \/ competences gained<\/strong><\/p>\n

Participants learn how to practically conceptualize their research questions into statistical models. They learn how to specify and critically interpret models of varying complexity in R. The course prepares participants to analyze their own data with state-of-the-art methodology.<\/p>\n

Prior knowledge needed<\/strong><\/p>\n

Basic knowledge in R is required (e.g. importing and transforming data). Some basic knowledge in statistics (e.g. from an introductory course) is recommended.<\/p>\n

Participants are expected to bring their own laptops with required software installed before the course. Infos on software will be provided.<\/em><\/p>\n <\/div>\n\n\n

\n Online lecture by Benjamin on Bayesian statistics <\/svg>\n <\/a>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n\n
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\"idiv-\"\/\"idiv-\"\/<\/div><\/div>\n <\/div>\n
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Lecturer<\/h2>\n
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Dr Benjamin Rosenbaum<\/h3>\n<\/header>\n

Benjamin is a\u00a0 Computational Ecologist with a PhD in Applied Mathematics, based in iDiv\u2019s \u2018Theory in Biodiversity group\u2019. Here, his research focuses on statistical methods for species interactions and population dynamics. Through his work as a statistical advisor, he has been involved in many biodiversity-related projects across all iDiv. He also offers statistical consulting for the whole iDiv community.\u00a0<\/span><\/p>\n

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\n Benjamin Rosenbaum <\/a>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>","protected":false},"author":13,"template":"","meta":{"_acf_changed":false,"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","_links_to":"","_links_to_target":""},"class_list":["post-18560","events","type-events","status-publish","hentry"],"acf":{"text":"soon","standort":"iDiv, Beehive","email":"","thumb":7694,"copyrightthumb":"","imagesingle":9680,"copyrightimagesingle":"","breadcrumb":true},"yoast_head":"\nIntroduction to Bayesian Statistics in R | iDiv<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.idiv.de\/de\/events\/introduction-to-bayesian-statistics-in-r\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Introduction to Bayesian Statistics in R | iDiv\" 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