Introduction to Bayesian hierarchical modelling
This course will run from 23rd – 26th August 2016 at SCENE (the Scottish Centre for Ecology and the Natural Environment), Loch Lomond National Park, Glasgow.
Instructor: Dr. Andrew Parnell
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 any researcher'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
The cost is £405 (+VAT) including lunches and course materials. An all-inclusive option is also available at £495 (+VAT); this includes breakfast, lunch, dinner, refreshments, accommodation and course materials. Participants will need a laptop with a recent version of LINUX installed.
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Upcoming courses - email for details firstname.lastname@example.org
- INTRODUCTION TO BIOINFORMATICS USING LINUX (August)
- GENETIC DATA ANALYSIS / EXPLORATION USING R (August)
- INTRODUCTION TO PYTHON FOR BIOLOGISTS (October)
- LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October)
- APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October)
- PHYLOGENETIC DATA ANALYSIS USING R (October/November)
- SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November)
- ADVANCING IN STATISTICAL MODELLING USING R (December)
- MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January)
- NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March)
- INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June)
Dates still to be confirmed - email for details email@example.com • STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R • INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS • BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS
Oliver Hooker PR statistics
+44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/