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Exact minimax strategies for predictive density estimation, data compression and model selection

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2 Author(s)
Feng Liang ; Inst. of Stat. & Decision Sci., Duke Univ., Durham, NC, USA ; Barron, A.R.

The Bayes procedure with uniform prior on location (and log-scale) parameters is shown to be exact minimax optimal for location and scale families in problems of universal data compression, predictive density estimation and model selection.

Published in:

Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on

Date of Conference:

2002

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