# Montreal R Workshop: Introduction to Bayesian Methods

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**Monday, March 26, 2012 14h-16h, Stewart Biology N4/17
**

*Corey Chivers, Department of Biology McGill University*

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

### Topics

### Learning Objectives

*The participant will:*

**1)**Contrast the underlying philosophies of the

**Frequentist and Bayesian perspectives**.

**Estimate posterior distributions using**

2)

2)

**Markov Chain Monte Carlo**(MCMC).

**Conduct both**

3)

3)

**inference**and

**prediction**using the posterior distribution.

### Prerequisites

We will build on ideas presented in the workshop on Likelihood Methods. If you did not attend this workshop, it may help to have a look at the slides and script provided on this page.

The goal of this workshop is to demystify the potentially ‘*scary*‘ topic of Bayesian Statistics, and empower participants (of *any* preexisting knowledge level) to engage in statistical reasoning when conducting their own research. So come one, come all!

That being said, a basic working understanding of R is assumed. Knowledge of functions and loops in R will be advantageous, but not a must.

### Packages

This workshop will be conducted entirely in R. We will not be using any external software such as winBUGS.

We will use a package I have written which is available on CRAN:

http://cran.r-project.org/web/packages/MHadaptive/

install.packages(“MHadaptive”)

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