Aaron Clauset

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).

Beijing School

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.

• "Power-law distributions in empirical data." A. Clauset, C. R. Shalizi and M. E. J. Newman. arXiv:0706.1062 (2007).
• "The Structure and function of complex networks." M. E. J. Newman, SIAM Review 45, 167-256 (2003)