From Santa Fe Institute Events Wiki
Aaron Clauset [homepage] has been a post-doctoral fellow at the Santa Fe Institute since 2006 and is an alumnus of the CSSS 2003 (Santa Fe).
Santa Fe School
This year, Clauset will deliver a lecture on Markov chain Monte Carlo methods for simulation and inference in complex systems. To be best prepared for the lecture, you should take a look at these papers. The first is the most relevant, with the others being more background material.
- "Hierarchical structure and the prediction of missing links in networks." Clauset, Moore and Newman. Nature 453, 98-101 (2008).
- Monte Carlo Methods in Statistical Physics. Newman and Barkema. Oxford University Press (1999).
- "An Introduction to MCMC for Machine Learning." Andrieu, de Freitas, Doucet and Jordan. Machine Learning 50, 5-43 (2003).
Clauset will deliver three lectures; two will cover the basics of complex networks and network analysis, and one will cover the estimation and validation of power-law distributions in empirical data. To be best prepared for the lecture, you should take a look at these two papers.