In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed...

quantity one wants to estimate. MAP estimation can therefore be seen as a regularization of maximum likelihood estimation. Assume that we want to estimate...

actual parameter. In maximum likelihood estimation, the arg max (over the parameter θ {\displaystyle \theta } ) of the likelihood function serves as a...

reduced) maximum likelihood (REML) approach is a particular form of maximum likelihood estimation that does not base estimates on a maximum likelihood fit...

Maximum likelihood sequence estimation (MLSE) is a mathematical algorithm to extract useful data out of a noisy data stream. For an optimized detector...

function is a sample average. Both non-linear least squares and maximum likelihood estimation are special cases of M-estimators. The definition of M-estimators...

modeled; see § Maximum entropy. The parameters of a logistic regression are most commonly estimated by maximum-likelihood estimation (MLE). This does...

In statistics a quasi-maximum likelihood estimate (QMLE), also known as a pseudo-likelihood estimate or a composite likelihood estimate, is an estimate...

parameter estimates. Maximum likelihood estimation Maximum spacing estimation Boos, Dennis D. (1982). "Minimum anderson-darling estimation". Communications...

journal requires |journal= (help) Choi, S. C.; Wette, R. (1969). "Maximum Likelihood Estimation of the Parameters of the Gamma Distribution and Their Bias"...