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Bayesian model selection (view source)
Revision as of 01:21, December 8, 2007
, 01:21, December 8, 2007a start
'''Bayesian model selection''' is a technique in probability theory for choosing a [[hypothesis]] (model) to fit observed data.
The model selection implicitly prefers simpler models, and it ensures that the right model, if it exists, will be selected as the size of the dataset increases to infinity.
[[category:statistics]]
The model selection implicitly prefers simpler models, and it ensures that the right model, if it exists, will be selected as the size of the dataset increases to infinity.
[[category:statistics]]