Applied Bayesian modelling for ecologists and epidemiologists (ABME05) FREE ACCOMMODATION AVAILABLE
https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/
This course will be delivered by Dr. Mat Denwood from November 11th-15th in Glasgow City Centre
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.
For more details email [log in to unmask]
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Introduction to Bayesian data analysis for social and behavioural sciences using R and Stan (BDRS02)
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs02/
This course will be delivered by Dr. Mark Andrews from November 4th-8th in Glasgow City Centre
Course Overview:
This course provides a general introduction to Bayesian data analysis using R and the Bayesian probabilistic programming language Stan. We begin with a gentle introduction to all the fundamental principles and concepts of Bayesian data analysis: the likelihood function, prior distributions, posterior distributions, high posterior density intervals, posterior predictive distributions, marginal likelihoods, Bayes factors, etc. We will do this using some simple probabilistic models that are easy to understand and easy to work with. We then proceed to more practically useful Bayesian analyses, starting with general linear models, followed by generalized linear models, including logistic regression and Poisson regression, followed by multilevel general and generalized linear models. For these analyses, we will use real world data sets, and carry out the analysis with Stan using the brms interface to Stan in R. With each example, we will explore general concepts such as model checking and improvement using posterior predictive checks, and model evaluation using cross-validation, WAIC, and Bayes factors. In the final part of the course, we will delve into some more advanced topics: understanding Markov Chain Monte Carlo in depth, Gaussian process regression, probabilistic mixture models.
For more details email [log in to unmask]
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Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRstatistics.com/consultancy (Statistical and bioinformatics consultancy in all fields)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition)
1. October 21st – 25th 2019
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE (VGNR01)
Glasgow, Scotland, Dr. Guillaume Blanchet
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr01/
2. November 4th – 8th 2019
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS02)
Glasgow, Scotland, Dr. Mark Andrews
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs02/
3. November 11th – 15th 2019
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME05)
Glasgow, Scotland, Dr Matt Denwood, Emma Howard
https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/
4. November 18th – 22nd 2019
GEOSTATISTICS – HANDLING SPATIAL AND SPATIAL-TEMPORAL DATA USING R (GSFE01)
Wimmipeg, CANADA, Dr Guillaume Blanchet
https://www.prstatistics.com/course/geostatistics-handling-spatial-and-spatial-temporal-data-using-r-gsfe01/
5. January 20th – 24th2020
R4ALL – INTRODUCTION TO R (R4ALL
Glasgow, Scotland, Dr Andrew Beckerman, Dr. Dylan Childs
https://www.prstatistics.com/course/r-4-all-andrew-beckerman-dylan-childs-r4ll01/
6. February 3rd – 7th 2020
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE02)
Glasgow, Scotland, Dr. Jakub Nowosad
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe02/
7. February 24th – 28TH 2020
MOVEMENT ECOLOGY (MOVE03)
Margam Discovery Centre, Wales, Dr. Luca Borger, Dr Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move03/
8. March 16th – 20th 2020
POPULATION GENETICS INFERENCE WITH ‘MIGRATE’ (PGMG01)
Glasgow, Scotland, Prof. Peter Beerli
https://www.prstatistics.com/course/population-genetics-inference-with-migrate-pgmg01/
9. May 11th – 15th 2020
FORMALIZING UNCERTAINTY: FUZZY LOGIC IN SPECIES DISTRIBUTION AND DIVERSITY PATTERNS (FLDM01)
Glasgow, Scotland, Dr. Marcia Barbosa
https://www.prstatistics.com/course/formalizing-uncertainty-fuzzy-logic-in-species-distribution-and-diversity-patterns-fldm01/
10. May 18th – 22nd 2020
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck, Dr. Jim (ames) Grace
https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/
11. October 5th – 9th 2020
ECOLOGICAL NICHE MODELLING USING R (ENMR04)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/
12. October 11th – 16th 2020
ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/
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