Introduction to Bayesian Methods guest lecture

This is a talk I gave this week in Advanced Biostatistics at McGill. The goal was to provide an gentle introduction to Bayesian methodology and to demonstrate how it is used for inference and prediction. There is a link to an accompanying R script in the slides.



7 thoughts on “Introduction to Bayesian Methods guest lecture

  1. Pingback: The catch-22 of slide-22: Pedagogical troubles with conjugate priors « ecology & stats

  2. Pingback: Introduction to Bayesian lecture: Accompanying handouts and demos « bayesianbiologist

    • Oh goodness, that’s embarrassing. Indeed, it should read ‘Likelihood principle’, not ‘Likelihood principal’. While some may consider likelihood to be of primary importance (principal) to statistical inference, the slide refers to the rule as formulated by Fisher (ie. the principle.)


  3. Nice presentation. I failed to get the R source and slides files. The bit/ly links pointed to site, however the server returned errors. I will appreciate of you could make these two files available. Thanks

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