email:
liangf*
phone: 217. 333.6017
fax:
217.244.7190
office:
116A Illini Hall
725
S. Wright St.
Champaign, IL 61820
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*AT illinois DOT edu
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Assistant Professor of Statistics
Ph.D. in Statistics, Yale University, 2002
Personal Website
Research Interests
- Bayesian
methods
- Decision
theory
- Information
theory
- Minimum
description length principle
- Data mining
Teaching
Selected Publications
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H. Zhao and F. Liang. "On relationship inference using continuous gamete
identity by descent data" Journal of Computational Biology 8:191-200, 2001.
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F. Liang, S. Ma and J. L. Hellerstein. "Discovering D-patterns." Proceedings of
the 2nd SIAM International Conference on Data Mining, 2002.
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F. Liang and A. R. Barron. "Exact Minimax Strategies for Predictive Density
Estimation, Data Compression and Model Selection." IEEE Transactions on
Information Theory, 50:2708-2726, 2004.
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F. Liang and A. R. Barron. "Exact minimax predictive density estimation and
MDL", in: Advances in Minimum Description Length: Theory and Applications
(P. Grunwald, I. J. Myung and M. Pitt eds). MIT press. 2005.
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E. I. George, F. Liang, and X. Xu. (2006). “Improved minimax prediction under
Kullback-Leibler loss.” Annals of Statistics, 34 78–91.
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F. Liang, S. Mukherjee, and M. West. (2007). “Understanding the use of
unlabelled data in predictive modeling.” Statistical Science, in press.
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F. Liang, R. Paulo, G. Molina, M. Clyde and J. Berger. (2007). “Mixtures of
g-priors for Bayesian Variable Selection.” Journal of the American Statistical
Association, accepted for publication.
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