[R-sig-Epi] Introduction to Bayesian modelling with INLA (BMIN02)

[Oliver Hooker]

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 oliverhooker using 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

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