ONLINE COURSE – Introduction to Bayesian modelling with INLA (BMIN02) https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin02/
22nd - 26th May 2023 Please feel free to share! Delivered by Dr Virgillio Gomez Rubio author of Baysiean inference with INLA <https://www.amazon.co.uk/Bayesian-inference-INLA-Virgilio-Gomez-Rubio-ebook/dp/B084ZYNV4T/ref=sr_1_3?crid=3M7SWJP6V1KEV&keywords=virgilio+gomez+rubio&qid=1676290900&sprefix=virgillio+gomez+rubio+%2Caps%2C79&sr=8-3> https://www.amazon.co.uk/Bayesian-inference-INLA-Virgilio-Gomez-Rubio-ebook/dp/B084ZYNV4T/ref=sr_1_3?crid=3M7SWJP6V1KEV&keywords=virgilio+gomez+rubio&qid=1676290900&sprefix=virgillio+gomez+rubio+%2Caps%2C79&sr=8-3 *The aim of the course is to introduce you to Bayesian inference using the integrated nested Laplace approximation (INLA) method and its associated R-INLA package. This course will cover the basics on the INLA methodology as well as practical modelling of different types of data.* *By the end of the course participants should:* 1. *Understand the basics of Bayesian inference.* 2. *Understand how the INLA method works and its main differences with MCMC methods.* 3. *Be able to fit models with the R-INLA package.* 4. *Know how to interpret the output from model fitting.* 5. *Be confident with the use of INLA for data analysis.* 6. *Understand the different models that can be fit with INLA.* 7. *Know how to define the different parts of a model with INLA.* 8. *Be able to develop new latent effects not implemented in the R-INLA package.* 9. *Know how to define new priors not included in the R-INLA package.* 10. *Have the confidence to use INLA for their own projects.* Please email oliverhoo...@prstatistics.com with any questions. Upcoming courses can be found here <https://www.prstatistics.com/live-courses/> -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
