EM algorithms without missing data
نویسندگان
چکیده
منابع مشابه
EM algorithms without missing data.
Most problems in computational statistics involve optimization of an objective function such as a loglikelihood, a sum of squares, or a log posterior function. The EM algorithm is one of the most effective algorithms for maximization because it iteratively transfers maximization from a complex function to a simple, surrogate function. This theoretical perspective clarifies the operation of the ...
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ژورنال
عنوان ژورنال: Statistical Methods in Medical Research
سال: 1997
ISSN: 0962-2802,1477-0334
DOI: 10.1177/096228029700600104