Montreal R Workshop: Likelihood Methods and Model Selection

Monday, March 19, 2012  14h-16h, Stewart Biology N4/17

Corey Chivers, McGill University Department of Biology

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.

This is the first official meetup of the Montreal R User Group. Be sure to join the group and RSVP. More information about the workshop here.


2 thoughts on “Montreal R Workshop: Likelihood Methods and Model Selection

  1. I am really deepliy impressed by your nice 3D graph. In fact I must admit, that I desperately tried to do something similar for a while. Unfortunately in vain so far. How did you plot the confidence levels and their projection into 3D? Could you please provide the code for this great illustration?

    • I actually just hauled that plot out of a paper a long time ago. I can’t seem to find the source (poor form, I know). I’ll keep scouring and try to get the proper credit up there soon.

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