STAT 548

Papers to read/understand/explain/extend

From: Clarke, Bertrand

Office: LSK 323

Phone: (604) 822-4373

Fax: (604) 822-6960


Below are 4 recent papers that I think everyone should understand.

The overall subject matter combines prediction, model uncertainty, and information theory.

As a matter of policy: I will be happy to supervise your progress through other papers not listed here, provided they are in my areas of interest and expertise.

The 3 papers below are examples for guidance (which you really should know) not a definitive list. For instance, there is a paper in by Fushiki, T. called Bootstrap prediction and Bayesian prediction under mis-specified models, in Bernoulli, 2005, Vol. 11, No. 5 that looks really interesting.)

ASAP I will load pdf files for these papers. Sorry for the inconvenience.

  • Clyde, M. and George, E. (2004) Model Uncertainty. Stat. Sci. Vol. 19, No. 1, 81-94.
  • Shen, X., Huang, H. and Ye, J. (2004) Inference after model selection. JASA Vol. 99, No. 467, 751-762.
  • Komaki, F.(2004) Simultaneous Prediction of Independent Poisson Random Variables Ann. Stat. Vol. 32, No. 4, 1744-1869.

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