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Information Theory and Statistical Inference

E0 376: Information Theory and Statistical Inference

Instructors: Rajesh Sundaresan and Ambedkar Dukkipati

Teaching Assistant: Manjesh Kumar Hanawal

Information | Assignments | Seminars | References

Information


Assignments


Seminars

  • Estimating the entropy of binary time series: methodology, some theory and a simulation study, by Y.Gao, I.Kontoyiannis, and E.Bienenstock, Entropy 2008, 10, 71-99 by Rajat A
  • Constructing free-energy approximations for generalized belief propagation algorithms, by J.S.Yedidia, W.T.Freeman, and Y.Weiss. IEEE Transactions on Information Theory, vol. 51, no. 7, July 2005. by Vikram T
  • On the Shannon capacity of a graph, by L.Lovasz, IEEE Transactions on Information Theory, vol. 25, no.1, January 1979. by Ramanjit

References

  • Information theory and Statistics: A Tutorial by I. Csisz{\'{a}}r and P. Shields, Now Publications, 2008.
  • Elements of Information Theory T. M. Cover and J. A. Thomas, John Wiley \& Sons, 2nd edition, 2006.
  • Information and Distribution: Occam's Razor in Action P. Harremo{\"{e}}s and A. Dukkipati, (in preparation) 2008.
  • Coding Theorems of Classical and Quantum Information theory by K. R. Parthasarathy, TRIM publication, 2007.
  • Information Theory, Inference, and Learning Algorithms by D.J.C. MacKay, Cambridge University Press, 2003.


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