ONLINE COURSE – Applied Bayesian modelling for ecologists and epidemiologists (ABME06) This course will be delivered live
https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme06/ July 20th - 24th TIME ZONE – Central European Summer Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhoo...@prstatistics.com for full details or to discuss how we can accommodate you). Course Overview: This application-driven course will provide a founding in the basic theory & practice of Bayesian statistics, with a focus on MCMC modeling for ecological & epidemiological problems. Starting from a refresher on probability & likelihood, the course will take students all the way to cutting-edge applications such as state-space population modelling & spatial point-process modelling. By the end of the week, you should have a basic understanding of how common MCMC samplers work and how to program them, and have practical experience with the BUGS language for common ecological and epidemiological models. The experience gained will be a sufficient foundation enabling you to understand current papers using Bayesian methods, carry out simple Bayesian analyses on your own data and springboard into more elaborate applications such as dynamical, spatial and hierarchical modelling. email oliverhoo...@prstatistics.com with any questions -- Oliver Hooker PhD. PR statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish. PLOS GENETICS (2020). IN PRESS www.PRstatistics.com facebook.com/PRstatistics/ twitter.com/PRstatistics 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 +44 (0) 7966500340 _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology