1. An Introduction to MCMC for Machine Learning

   • Christophe Andrieu
   • Nando de Freitas
   • Michael I. Jordan

   OriginalPaper Pages: 5 - 43

2. EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence

   • Frank Dellaert
   • Steven M. Seitz
   • Sebastian Thrun

   OriginalPaper Pages: 45 - 71

3. Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation

   • Ernest Fokoué
   • D.M. Titterington

   OriginalPaper Pages: 73 - 94

4. Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks

   • Nir Friedman
   • Daphne Koller

   OriginalPaper Pages: 95 - 125

5. Improving Markov Chain Monte Carlo Model Search for Data Mining

   • Paolo Giudici
   • Robert Castelo

   OriginalPaper Pages: 127 - 158

6. Classification with Bayesian MARS

   • C.C. Holmes
   • D.G.T. Denison

   OriginalPaper Pages: 159 - 173

7. Population Markov Chain Monte Carlo

   • Kathryn Blackmond Laskey
   • James W. Myers

   OriginalPaper Pages: 175 - 196

8. A Noninformative Prior for Neural Networks

   • Herbert K.H. Lee

   OriginalPaper Pages: 197 - 212