Monday, March 19, 2012 14h-16h, Stewart Biology N4/17
This workshop will introduce participants to the likelihood principal and its utility in statistical inference. By learning how to formalize models through their likelihood function, participants will learn how to confront these models with data in order to make statistical inference.
The concepts of using maximum likelihood to fit model parameters, and model comparison using information theoretic approaches will also be covered.
The workshop will explore these topics through worked examples and exercises using the R statistical computing environment.