Excited to be running a workshop on Bayesian capture-recapture inference w hidden Markov models, #rstats & @R_nimble 🥳
Thanks for the invitation @vibass7 🥰
Website is up and running w slides, code & data https://t.co/X7MYs8ec5X pic.twitter.com/UDzIVeVhuZ
— Olivier Gimenez 🖖🦦 (@oaggimenez) July 10, 2023
Here I illustrate how to fit GLMMs with the R package brms, and compare to Jags and lme4.
Developing, communicating and teaching methods and models for ecology and conservation biology.
Just finished polishing up my slides for a workshop on Bayesian statistics.
Playing around w/ awesome @R_nimble to fit multievent #HMM capture-recapture models to data - Code and data here https://t.co/2oHvsplahv Comments welcome 🤗 pic.twitter.com/tA89r80YYV
— Olivier Gimenez 🖖 (@oaggimenez) December 2019
🥳 It is a pleasure to welcome Daniel Turek @WilliamsCollege for a 6-month sabbatical here in @montpellier_ Stay tuned for more about #Bayes #StatisticalEcology w/ @R_nimble 🤩 Check out Daniel's website ▶️ https://t.co/HYyMMrN6Nb pic.twitter.com/vK7q6bYzPU
— Olivier Gimenez 🖖 (@oaggimenez) September 919
We held AppliBugs in Montpellier, with the idea to stimulate exchanges and to share information on Bayesian methods and applications ( program here). The day went well despite a rainstorm falling on Montpellier. All talks were great, and I was particularly interested in Adrien Todeschini’s presentation of Biips, a software allowing the implementation of state-space models using particle filtering and a R/BUGS-like syntax.