Introduction to Bayesian hierarchical modelling using R (IBHM04)

oliver-hookerOliver Hooker

Introduction to Bayesian hierarchical modelling using R (IBHM04)

https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm04/

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This course will be delivered by Dr Andrew Parnell form the 23rd -
27th March 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 and relevant to many people working with
complicated marine environmental and species data. 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.

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

Final day for recap session, catch up time and bring your own data set

Email oliverhooker@PSstatistics.com

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. March 23rd – 27th
    INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING USING R (IBHM04)
    Glasgow, Scotland, Dr Andrew Parnell
    https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm04/

  2. March 30th – April 3rd
    INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS IN R (IPSY03)
    Glasgow, Scotland, Dr Dale Barr
    https://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy03/

  3. May 4th – May 8th
    PYTHON FOR DATA SCIENCE, MACHINE LEARNING, AND SCIENTIFIC COMPUTING (PDMS02)
    Glasgow, Scotland, Dr. Mark Andrews
    https://www.prinformatics.com/course/python-for-data-science-machine-learning-and-scientific-computing-pdms02/

  4. May 11th – 15th
    BIOINFORMATICS WITH LINUX WITH PYTHON (BILP01)
    Glasgow, Scotland, Dr. Martin Jones
    https://www.prinformatics.com/course/introduction-to-linux-workflows-for-biologists-ibul04/

  5. May 11th – 15th
    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/

  6. May 18th – 22nd
    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/

  7. May 25th – 29th
    GENERALISED LINEAR (MIXED) (GLMM), NONLINEAR (NLGLM) AND GENERAL
    ADDITIVE MODELS (MIXED) (GAMM) (GNAM01)
    Glasgow, Scotland, Dr Mark Andrews
    https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam02/

  8. June 1st – 5th
    LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03)
    Glasgow, Scotland, Prof. Rodney Dyer
    http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg04/

  9. June 8th – 12th
    STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM06)
    Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson
    www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm06/

  10. June 17th – 21st
    ADVANCED PYTHON FOR BIOLOGISTS (APYB04)
    Glasgow, Scotland, Dr. Martin Jones
    www.prinformatics.com/course/advanced-python-biologists-apyb04/

  11. July 20th – 24th
    APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME06)
    Glasgow, Scotland, Dr Matt Denwood
    https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme06/

  12. July 27th – 31st
    SPECIES DISTRIBUTION MODELLING (DBMR01)
    Glasgow, Scotland, Dr Matt Fitzpatrick
    www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/

  13. October 5th – 9th
    ECOLOGICAL NICHE MODELLING USING R (ENMR04)
    Glasgow, Scotland, Dr. Neftali Sillero
    http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/

  14. October 11th – 16th
    ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01)
    Glasgow, Scotland, Dr. Neftali Sillero
    http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/

--
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).

--
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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