統計数学セミナー
Seminar on Probability and Statistics |
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Seminar on Probability and Statistics Wednesday November 30 2011 Tokyo 002 3:00-4:10 pm
Information criteria for parametric and semi-parametric models
広瀬 勇一 / HIROSE, Yuichi Victoria University of Wellington Abstract Since Akaike proposed an Information Criteria, this approach to
model selection has been important part of Statistical data analysis.
Since then many Information Criteria have been proposed and it is still
an active field of research. Despite there are many contributors in this
topic, we have not have proper Information Criteria for semiparametric
models. In this talk, we give ideas to develop an Information Criteria
for semiparametric models.
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