# Introduction to Bayesian Analysis

## Schedule

 * 09:00 AM - 10:00 AM  o  An Introduction To Gaussian Process Regression; S. Aigrain [:octocat:](https://github.com/saigrain)
 * 10:00 AM - 10:30 AM  o  Break
 * 10:30 AM - 12:00 PM  o  Problem -- Building a GP Model; S. Aigrain [:octocat:](https://github.com/saigrain)
 * 12:00 PM - 01:30 PM  o  LUNCH
 * 01:30 PM - 04:00 PM  o  A Practical Guide to MCMC; A. Connolly [:octocat:](https://github.com/connolly)
 * 04:00 PM - 04:30 PM  o  Break
 * 04:30 PM - 06:00 PM  o  Generative Models; A. Mantz [:octocat:](https://github.com/abmantz)
 * 06:00 PM - ??:?? PM  o  Group dinner

# Introduction to Bayesian Analysis

## Schedule

 * 09:00 AM - 10:00 AM  o  An Introduction To Gaussian Process Regression; S. Aigrain [:octocat:](https://github.com/saigrain)
 * 10:00 AM - 10:30 AM  o  Break
 * 10:30 AM - 12:00 PM  o  Problem -- Building a GP Model; S. Aigrain [:octocat:](https://github.com/saigrain)
 * 12:00 PM - 01:30 PM  o  LUNCH
 * 01:30 PM - 04:00 PM  o  A Practical Guide to MCMC; A. Connolly [:octocat:](https://github.com/connolly)
 * 04:00 PM - 04:30 PM  o  Break
 * 04:30 PM - 06:00 PM  o  [Generative Models](https://github.com/KIPAC/StatisticalMethods/blob/5d7b31d01cb213bd656ca4ce85e4038fdcadf0b5/chunks/generative_models.ipynb); A. Mantz [:octocat:](https://github.com/abmantz)
 * 06:00 PM - ??:?? PM  o  Group dinner

Include link to Generative models lecture
Include link to Generative models lecture
