Markov Chain Monte Carlo and Applied Bayesian Statistics HT 2007

• Disclaimer: Below are the slides for lectures. There may be misprints in the slides; corrections may only be provided during lectures. If you discover any misprints at all, please let me know, so that the slides can be updated. Please check the slides regularly for updates.

• Slides for lectures:
  MCMC and Applied Bayesian Statistics

• Practical session:  Titanic data (txt file). Handout for practical: Practical
  

• R code for generating standard normals using Metropolis sampler with uniform proposal distribution:   metrop.r. (Thanks to Darren Wilkinson.)
  
  
  Gesine Reinert (reinert@stats.ox.ac.uk)