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FREE SEMINAR – Bayesian GLM’s For Ecologists (BGFE01S)
17th May 2022 @ 3:00 pm - 3:30 pm
Free
Registration is now closed, if you would still like to register please send an email to oliverhooker@prstatistics.com and we will try and add you before the seminar start time.
Event Date
Free seminar
This is a free ~30 minute seminar including a Q and A session at the end for our up-coming course “Bayesian GLM’s for Ecologists”.
Time
15:00-15:30 GMT+1
Speaker
Course Instructor Dr. Carl Smith
About this course
This short course is aimed at introducing researchers to analysing ecological and environmental data with Bayesian GLMs using R. Theory underpinning Bayesian inference will be discussed, as well as analytical methods and statistical interpretation. Sessions will be a blend of interactive demonstrations and lectures, where learners will have the opportunity to ask questions throughout. Prior to the course, attendees will receive R script and datasets and a list of R packages to install.
By the end of the course, participants should be able to:
- Recognise the distinction between frequentist and Bayesian approaches to model fitting
- Apply data exploration techniques and avoid the common pitfalls in tackling a data analysis
- Apply a 9-step protocol to fitting Bayesian GLMs
- Understand and apply alternative approaches to model selection
- Apply statistical modelling methods to ecological data using Bayesian GLMs
ONLINE COURSE – Bayesian GLM’s For Ecologists (BGFE01) This course will be delivered live
Dr. Carl Smith
Senior Lecturer, Psychology Department, Nottingham Trent University
Teaches:
- Statistics for biodiversity and conservation (SFBC01)
- Bayesian GLMs for Ecologists (BGFE01)
Mark Andrews is a Senior Lecturer in the Psychology Department at Nottingham Trent University in Nottingham, England. Mark is a graduate of the National University of Ireland and obtained an MA and PhD from Cornell University in New York. Mark’s research focuses on developing and testing Bayesian models of human cognition, with particular focus on human language processing and human memory. Mark’s research also focuses on general Bayesian data analysis, particularly as applied to data from the social and behavioural sciences. Since 2015, he and his colleague Professor Thom Baguley have been funded by the UK’s ESRC funding body to provide intensive workshops on Bayesian data analysis for researchers in the social sciences.