PARTFUNDED SCHOLARSHIPS for the course "Introduction to Frequentist and Bayesian mixed (Hierarchical) models (IFBM01)"
This course will run from the 8th - 12th October 2018 in Glasgow City Centre, Scotland, UK www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-mixed- models-ifbm01/ PS STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME THEY ARE ABLE TO OFFER PART-FUNDED SCHOLARSHIPS FOR THREE UP-COMING COURSES 1) Introduction to Frequentist and Bayesian mixed (Hierarchical) models (IFBM01) As well as… 2) Time series models for ecologists (TSME02) 3) Applied Bayesian modelling for ecologists and epidemiologists (ABME04) SCHOLARSHIPS FOR IFBM01 CONTRIBUTE TOWARDS COURSE AND ACCOMMODATION FEES WITH ALL INCLUSIVE PLACES (accommodation and meals included) AVAILABLE AT £475.00 (Fees have been subsidised by 40% from £775.00). Applications should be sent to [email protected] and contain the following. 1. Full name 2. Institute name 3. PhD subject title or Post doc research questions 4. Do you hold a funded position 5. 150 words why this course would be relevant to your research or how it would help. Application deadline is Thursday 13th September and decisions will be made by Friday 14th September 2018. We still have ‘normal’ places available for anyone else interested. Full course details are given below Introduction to Frequentist and Bayesian mixed (Hierarchical) models (IFBM01) https://www.psstatistics.com/course/introduction-to-frequentis-and-bayesian- mixed-models-ifbm01/ Course Overview: This course will cover introductory mixed or hierarchical modelling (fixed and random effects models) for real-world data sets from both a Frequentist and 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 mixed modelling. All methods are demonstrated with data sets which participants can run themselves. Participants will be taught how to fit hierarchical models using both the standard lme4 mixed effects models library in R, together with the Bayesian modelling framework via rstanarm. The course covers the full gamut from simple regression models through to full generalised multivariate mixed structures. The relevant advantages and disadvantages of both the Frequentist and Bayesian approaches will be presented.. Participants are encouraged to bring their own data sets for discussion with the course tutors. Oliver Hooker PhD. PS statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. DOI to follow Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340
