Variable Selection by Perfect Sampling
نویسندگان
چکیده
منابع مشابه
Variable Selection by Perfect Sampling
Variable selection is very important in many fields, and for its resolution many procedures have been proposed and investigated. Among them are Bayesian methods that use Markov chain Monte-Carlo (MCMC) sampling algorithms. A problem with MCMC sampling, however, is that it cannot guarantee that the samples are exactly from the target distributions. This drawback is overcome by related methods kn...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2002
ISSN: 1687-6180
DOI: 10.1155/s1110865702000409