ONLINE COURSE – Introduction to Bayesian modelling with INLA (BMIN02) This course will be delivered live
https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin02/ 4 October 2021 - 8 October 2021 TIME ZONE – Central European Standard Time (CEST) – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind (please email oliverhoo...@prstatistics.com for full details or to discuss how we can accommodate you). Course Overview: Course Overview: 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: Understand the basics of Bayesian inference. Understand how the INLA method works and its main differences with MCMC methods. Be able to fit models with the R-INLA package. Know how to interpret the output from model fitting. Be confident with the use of INLA for data analysis. Understand the different models that can be fit with INLA. Know how to define the different parts of a model with INLA. Be able to develop new latent effects not implemented in the R-INLA package. Know how to define new priors not included in the R-INLA package. Have the confidence to use INLA for their own projects. Instructors Dr. Virgilio Gómez Rubio Course Programme Monday 4th – Classes from 10:00 to 17:00 Introduction to the course Key concepts related to Bayesian inference Models with conjugate priors Introduction to Bayesian hierarchical models Computational methods for Bayesian inference Introduction to the INLA methodology Fitting generalized linear models with INLA and the R-INLA package Understanding and manipulating the output from model fitting with R-INLA Tuesday 5th – Classes from 10:00 to 17:00 Fitting generalized linear mixed models with R-INLA Types of latent effects in R-INLA Models with i.i.d. latent effects Fitting multilevel models with R-INLA Models with correlated latent effects Fitting time series models with R-INLA Wednesday 6th – Classes from 10:00 to 17:00 Priors in R-INLA Setting priors in R-INLA Introduction to Penalized Complexity priors (PC-priors) Defining new priors in R-INLA Spatially correlated random effects Fitting spatial models with R-INLA Visualizing the output from spatial models and mapping Thursday 7th – Classes from 10:00 to 17:00 Advanced features in R-INLA Computing linear combinations of the latent effects Fitting models with several likelihoods Models with shared terms Adding linear constraints to the latent effects Implementing new latent models in R-INLA Imputation and missing covariates in R-INLA Friday 8th – Classes from 10:00 to 17:00 Case studies and own data UPCOMING COURSES PLEASE SHARE Missing Data Analytics (MDAR01) www.prstatistics.com/course/online-course-missing-data-analytics-mdar01 8 September 2021 - 10 September 2021 Functional ecology from organism to ecosystem: theory and computation (FEER02) www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/ 13 September 2021 - 17 September 2021 Meta-analysis in ecology, evolution and environmental sciences (METR02) www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr02/ 13 September 2021 - 17 September 2021 Species Distribution Modeling using R (SDMR04) www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/ 21 September 2021 - 30 September 2021 Introduction to eco-phylogenetics and comparative analyses using R (ECPH01) https://www.prstatistics.com/course/introduction-to-eco-phylogenetics-and-comparative-analyses-using-r-ecph01/ 22 September 2021 - 28 September 2021 Multivariate analysis of ecological communities in R with the VEGAN package (VGNR03) www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr03/ 4 October 2021 - 8 October Introduction to Data Wrangling and Data Visualization using R (DWDV01) www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/ 4 October 2021 - 8 October 2021 Introduction to Bayesian modelling with INLA (BMIN02) https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin02/ 4 October 2021 - 8 October 2021 Landscape genetic data analysis using R (LNDG05) https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg05/ 18 October 2021 - 27 October 2021 Species distribution modelling with Bayesian statistics in R (SDMB03) www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/ 6 December 2021 - 10 December 2021 Time Series Data Analysis (TSDA01) https://www.prstatistics.com/course/time-series-data-analysis-tsda01/ 14 December 2021 - 17 December 2021 Bayesian Data Analysis (BADA01) https://www.prstatistics.com/course/bayesian-data-analysis-bada01/ 10th January 2022 - 14th January 2022 Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM08) https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/ 1st February 2022 - 4th February 2022 -- Oliver Hooker PhD. PR statistics Missing Data Analytics (MDAR01) www.prstatistics.com/course/online-course-missing-data-analytics-mdar01 8 September 2021 - 10 September 2021 Functional ecology from organism to ecosystem: theory and computation (FEER02) www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/ 13 September 2021 - 17 September 2021 Meta-analysis in ecology, evolution and environmental sciences (METR02) www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr02/ 13 September 2021 - 17 September 2021 Species Distribution Modeling using R (SDMR04) www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/ 21 September 2021 - 30 September 2021 Phylogenetic comparative methods (PGCM01) https://www.prstatistics.com/course/phylogenetic-comparative-methods-pgcm01/ 22 September 2021 - 28 September 2021 Multivariate analysis of ecological communities in R with the VEGAN package (VGNR03) www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr03/ 4 October 2021 - 8 October Introduction to Data Wrangling and Data Visualization using R (DWDV01) www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/ 4 October 2021 - 8 October 2021 Introduction to Bayesian modelling with INLA (BMIN02) https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin02/ 4 October 2021 - 8 October 2021 Landscape genetic data analysis using R (LNDG05) https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg05/ 18 October 2021 - 27 October 2021 Species distribution modelling with Bayesian statistics in R (SDMB03) www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/ 6 December 2021 - 10 December 2021 Time Series Data Analysis (TSDA01) https://www.prstatistics.com/course/time-series-data-analysis-tsda01/ 14 December 2021 - 17 December 2021 Bayesian Data Analysis (BADA01) https://www.prstatistics.com/course/bayesian-data-analysis-bada01/ 10th January 2022 - 14th January 2022 Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM08) https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/ 1st February 2022 - 4th February 2022 www.PRstatistics.com 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 [[alternative HTML version deleted]] _______________________________________________ R-sig-Epi@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-epi
