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Course: Introduction Bayesian hierarchical models Instructor: Dr. Andrew Parnell 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. 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 The cost is £450 (+VAT) including lunches and course materials. An all-inclusive option is also available at £580 (+VAT); this includes breakfast, lunch, dinner, refreshments, accommodation and course materials. Participants will need a laptop with a recent version of LINUX installed. Please send inquiries to [log in to unmask] or visit the website www.prstatistics.com Please feel free to distribute this information anywhere you think suitable. Upcoming courses - email for details [log in to unmask] ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA: THEORY AND PRACTICE (July) ADVANCES IN DNA TAXONOMY USING R (August) INTRODUCTION TO BIOINFORMATICS USING LINUX (August) GENETIC DATA ANALYSIS USING R (August) MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (October) PHYLOGENETIC DATA ANALYSIS USING R (October) LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October) APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November) ADVANCING IN STATISTICAL MODELLING USING R (December) Dates still to be confirmed - email for details [log in to unmask] 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 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/