Maximum likelihood estimation
lastmod 2018-10-24created 2017-11-174 edits
The maximum likelihood method (最大可能度方法), also called 最大尤度法, is a method of finding the parameters of a random variable based on values sampled from it. Given a parameter, it chooses the parameter that maximizes the likelihood of obtaining the observed values. It is a form of point estimation.
See also
- Probability theory
- Bayesian probability / Bayes' theorem
- Maximum a posteriori estimation (MAP)
- Logistic Regression
Favorite site
- Wikipedia (en) Maximum likelihood estimation
- Bayes' theorem, MLE, and MAP 1
- Maximum Likelihood Estimation - ratsgo's blog
References
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Bayesian_theorem_and_MLE_and_MAP.pdf ↩