[R-sig-eco] Course on Bayesian Hierarchical/Mixed Models

Fri Oct 27 16:06:31 CEST 2017

Introduction Bayesian hierarchical models (IBHM02)

Instructor: Dr. Andrew Parnell

This course will run from 29th Jan - 2nd Feb 2018 at SCENE (the Scottish 
Centre for Ecology and the Natural Environment), Loch Lomond National 
Park, Glasgow.

Course overview:
This course will cover introductory hierarchical modelling for 
real-world data sets from a Bayesian perspective. These methods lie at 
the forefront of statistics research and are a vital tool in the 
scientist’s toolbox. The course focuses on introducing concepts and 
demonstrating good practice in hierarchical models. All methods are 
demonstrated with data sets which participants can run themselves. 
Participants will be taught how to fit hierarchical models using the 
Bayesian modelling software Jags and Stan through the R software 
interface. The course covers the full gamut from simple regression 
models through to full generalised multivariate hierarchical structures. 
A Bayesian approach is taken throughout, meaning that participants can 
include all available information in their models and estimates all 
unknown quantities with uncertainty. Participants are encouraged to 
bring their own data sets for discussion with the course tutors.

Day 1
Basic concepts
•	Class 1: Introduction to Bayesian Statistics
•	Class 2: Linear and generalised linear models (GLMs)
•	Practical: Using R, Jags and Stan for fitting GLMs
•	Round table discussion: Understanding Bayesian models

Day 2 Hierarchical modelling
•	Class 1: Simple hierarchical regression models
•	Class 2: Hierarchical models for non-Gaussian data
•	Practical: Fitting hierarchical models
•	Round table discussion: Interpreting hierarchical model output

Day 3 Complex Models
•	Class 1: Hierarchical models vs mixed effects models
•	Class 2:  Multivariate and multi-layer hierarchical models
•	Practical: Advanced examples of hierarchical models
•	Round table discussion: Issues of continuous vs discrete time

Day 4 Shrinkage and Selection models
•	Class 1: Shrinkage and variable selection
•	Class 2: Hierarchical models and partial pooling
•	Practical: Shrinkage modelling
•	Round table discussion Bring your own data set

Day 5 Final Day
•       Summary and recap session, catch up time and bring your own 
data.

Please send inquiries to oliverhooker at prstatistics.com or visit the 
website www.prstatistics.com

Please feel free to distribute this information anywhere you think 
suitable.

1.	November 6th – 10th 2017
LANDSCAPE GENETIC DATA ANALYSIS USING R #LNDG
Margam Discovery Centre, Wales, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg02/

2.	November 20th - 25th 2017
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
SCENE, Scotland, Dr. Matt Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/

3.	November 27th – December 1st 2017
INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
Margam Discovery Centre, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb04/
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4.	December 4th - 8th 2017
ADVANCING IN STATISTICAL MODELLING USING R #ADVR
Margam Discovery Centre, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. 
Ane Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/
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5.	January 29t – February 2nd 2018
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
SCENE, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/

6.	January 29th – February 2nd 2018
PHYLOGENETIC DATA ANALYSIS USING R #PHYL
SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-with-r-phyg-phyl02/
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7.	February 19th – 23rd 2018
MOVEMENT ECOLOGY #MOVE
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

8.	February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R #GMMR
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/
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9.	March 5th – 9th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION 
#FEER
Margam Discovery Centre, Wales, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/

10.	March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN #MRXN
Margam Discovery Centre, Wales, Jennifer McGowan
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

11.	March 12th - 16th 2018
ECOLOGICAL NICHE MODELLING USING R #ENMR
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr02/

12.	March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml01/
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13.	April 9th – 13th 2018
NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
Glasgow, Scotland, Dr. Marco Scotti
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

14.	April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy01/

15.	April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
#VGNR
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr01/

16.	April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES #QGER
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
COMING SOON  www.PRstatistics.com
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17.	 May 7th – 11th 2018
ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R 
#MVSP
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet

18.	May 14th - 18th 2018
INTRODUCTION TO MIXED MODELS FOR BIOLOGISTS #IMBR
CANADA (QUEBEC), Prof Subhash Lele

19.	May 21st - 25th  2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/

20.	May 28th – 1st June 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson
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21.	July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-scientists-snar01/

22.	July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
Glasgow, Scotland, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-data-using-r-mbmv02/

23.	July 16th – 20th 2018
TRANSCRIPTOME ANALYSIS, VISUALIZATION AND INTERPRETATION #TAVI
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
COMING SOON www.prinformatics.com

24.	July 23rd – 27th 2018
EUKARYOTIC METABARCODING
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/
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-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

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