[R-sig-ME] Introduction to Bayesian hierarchical modelling using R (IBHM03)

[Oliver Hooker]

Introduction to Bayesian hierarchical modelling using R (IBHM03)

https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm03/

This course will be delivered by Dr. Andrew Parnell from the 8th - 12th
July in Glasgow City Centre.

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.

Course Programme
Monday 8th – Classes from 09:00 to 17:00

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

Tuesday 9th – Classes from 09:00 to 17:00

Module 3: Simple hierarchical regression models
Module 4: Hierarchical models for non-Gaussian data
Practical: Fitting hierarchical models
Round table discussion: Interpreting hierarchical model output

Wednesday 10th – Classes from 09:00 to 17:00

Module 5: Hierarchical models vs mixed effects models
Module 6:  Multivariate and multi-layer hierarchical models
Practical: Advanced examples of hierarchical models
Round table discussion: Issues of continuous vs discrete time

Thursday 11th – Classes from 09:00 to 16:00

Module 7: Shrinkage and variable selection
Module 8: Hierarchical models and partial pooling
Practical: Shrinkage modelling
Round table discussion Bring your own data set

Friday 12th – Classes from 09:00 to 16:00
Email oliverhooker using psstatistics.com

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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. June 10th – 14th 2019
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

2. June 10th – 14th 2019
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06)
Glasgow, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb06/

3. June 17th – 21st 2019
ADVANCED PYTHON FOR BIOLOGISTS (APYB03)
Glasgow, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb03/

4. June 24th – 28th 2019
MICROBIOME DATA ANALYSIS USING QIIME2 (MBQM01)
Glasgow, Scotland, Dr. Yoshiki Vazquez Baeza, Dr. Antonio Gonzalez Pena
https://www.prinformatics.com/course/microbiome-data-analysis-using-qiime2-mbqm01/

5. July 1st – 5th 2019
BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS
(BIAC01)
Glasgow, Scotland, Dr. Paul Howden-Leach
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/

6. July 8th – 12th 2019
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING USING R (IBHM03)
Glasgow, Scotland, Dr. Andrew Parnell
https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm03/

7. July 15th – 19th 2019
ANALYSING ENVIRONMENTAL ADAPTATION USING LANDSCAPE GENETICS (EDAP01)
Glasgow, Dr. Matt Fitzpatrick
https://www.prstatistics.com/course/analysing-environmental-adaptation-using-landscape-genetics-edap01

8. July 29th – August 2nd 2019
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE01)
Glasgow, Scotland, Dr. Jakub Nowosad
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe01/

9. September 2nd – 6th 2019
APPLIED METHODS FOR ANALYSING CAPTURE-RECAPTURE (MARK-RECAPTURE) DATA USING
SPATIALLY EXPLICIT AND NON-SPATIAL TECHNIQUES (MARK01)
Glasgow, Scotland, Dr. Joanne Potts, Dr. David Borchers
https://www.prstatistics.com/course/applied-methods-for-analysing-capture-recapture-mark-recapture-data-using-spatially-explicit-and-non-spatial-techniques-mark01/

10. September 9th – 13th 2019
DATA SCIENCE/ANALYTICS USING PYTHON (DSAP01)
Glasgow, Scotland, Dr. Mark Andrews
https://www.psstatistics.com/course/data-science-analytics-using-python-dsap01/

11. September 16th – 20th 2019
R PACKAGE DESIGN AND DEVELOPMENT AND REPRODUCIBLE DATA SCIENCE FOR
BIOLOGISTS (RPKG01)
Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger
https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/

12. September 16th – 20th 2019
STRUCTURAL EQUATION MODELLING AND PATH ANALYSIS (SMPA01)
Glasgow, Scotland, Dr. Mark Andrews
https://www.psstatistics.com/course/structural-equation-modelling-and-path-analysis-smpa01/

13. September 23rd – 27th 2019
GENERALISED LINEAR (GLM), NONLINEAR (NLGLM) AND GENERAL ADDITIVE MODELS
(GAM’S) (GNAM01)
Glasgow, Scotland, Dr. Mark Andrews
https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam01/

14. September 30th – October 4th 2019
GEOMETRIC MORPHOMETRICS USING R (GMMR02)
Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni
Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/

15. October 7th – 11th 2019
CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01)
Athens, GREECE, Dr Richard Schuster and Nina Morell
https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/

16. October 14th – 18th 2019
INTRODUCTION TO BEHAVIOURAL DATA ANALYSIS USINR R (IBDA01)
Glasgow, Scotland, Dr Will Hoppitt
https://www.psstatistics.com/course/introduction-to-behavioural-data-analysis-using-r-ibda01/

17. November 4th – 8th 2019
Glasgow, Scotland, Dr. Mark Andrews
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/

18. November 4th – 8th 2019
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKELIHOOD (BDML01)
Glasgow, Scotland, Dr Will Hoppitt
https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml02/

19. 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/

20. November 18th – 22nd 2019
INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION
MODELS (IIPM01)
Athens, GREECE, Dr Cory Merow
https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/

21. November 25th – 29th 2019
ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01)
Athens, GREECE, Dr Cory Merow
https://www.prstatistics.com/course/advanced-range-niche-and-distribution

-- 
Oliver Hooker PhD.
PR statistics

2019 publications;

A way forward with eco evo devo: an extended theory of resource
polymorphism with postglacial fishes as model systems. Biological Reviews
(2019).

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