A. Clauset, C. R. Shalizi and M. E. J. Newman, 2009. “Power-law distributions in empirical data.” SIAM Review 51(4), 661–703. (2 Feb 2009), 661. (Preprint at arxiv:0706.1062)
Making Empirical Power-Law Distributions Useful or: How to Fit Curves & Do Statistical Validation With High- Variance Data, and an Application of these Techniques to Some Empirical “Power Laws” (with Predictable results). Aaron Clauset. Algorithms, Inference, and Statistical Physics Workshop 4 May 2007, Santa Fe Institute. Joint with Cosma Shalizi and M. E. J. Newman.
2008 (unfinished) Laurent Tambayong, Aaron Clauset, Cosma R. Shalizi, and Douglas R. White. q-Exponential Distributions in Empirical Data. SFI Draft.
See also Newman Power laws, Pareto distributions and Zipf's law Contemporary Physics 46, 323-351 (2005)
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gatech.edu April 5, 2013 CSIP/IDH Seminar: Aaron Clauset Aaron Clauset is an Assistant Professor in the Department of Computer Science and the BioFrontiers Institute at the University of Colorado Boulder, where he is affiliated faculty in the Department of Ecology and Evolutionary Biology and the Department of Applied Mathematics. He is also ... Awesome Share on Facebook Tweet Email Article