Introduction to Bayesian Statistics in R & brms | Part 2
DAY 2 This course provides a practical introduction to Bayesian statistics using R and the brms package. You will learn the fundamental concepts of Bayesian modeling, how to implement models in brms, and how to interpret results in an applied research context. The course is taught by Dr. Benjamin Rosenbaum, a postdoctoral researcher at the German Centre for Integrative Biodiversity Research (iDiv). With a background in applied mathematics, Dr. Rosenbaum’s work bridges theory and ecology, focusing on mathematical and statistical models to understand species interactions, population dynamics, and biodiversity patterns. Dr. Benjamin Rosenbaum’s profile: https://www.idiv.de/staff/benjamin-ro... Course materials: https://github.com/benjamin-rosenbaum... Organized by The sIBTEDs project at the German Centre for Integrative Biodiversity Research, iDiv (www.idiv.de/research/sdiv/working-groups/sibteds/). The sIBTEDs project is supported by sDiv, the Synthesis Centre of iDiv funded by the German Research Foundation (FZT 118, 202548816). The work was supported by the German Research Foundation DFG under the grant agreement number 442032008 (NFDI4Biodiversity). NFDI4Biodiversity is part of NFDI, the National Research Data Infrastructure in Germany (www.nfdi.de).

Introduction to Bayesian Statistics in R & brms | Part 3

Introduction to Bayesian Statistics in R & brms

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Introduction to Bayesian Statistics in R & brms | Part 5

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