Cosma Shalizi

Cosma Shalizi

Cosma Shalizi is an Associate Professor in the Statistics Department  at Carnegie Mellon University. Shalizi is co-author of the CSSR algorithm, which exploits entropy properties to efficiently extract Markov Models from time-series data without assuming a parametric form for the model.

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Books Authored by Cosma Shalizi

Advanced Data Analysis from an Elementary Point of View

Post date: 28 Jun 2016
A textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression.
Publisher: Cambridge University Press
Publication date: 18 Apr 2016
 
Advanced Data Analysis from an Elementary Point of View

Advanced Data Analysis from an Elementary Point of View

Post date: 28 Jun 2016
A textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression.
Publisher: Cambridge University Press
Publication date: 18 Apr 2016


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