Why maximize the likelihood?
20650
Maximum Likelihood Estimation (MLE) in layman terms
11824
A maximization problem
46026
How bias arises in using maximum likelihood to determine the variance of a Gaussian?
124161
Why is Bayes Classifier the ideal classifier?
70695
When approximating a posterior using MCMC, why don't we save the posterior probabilities but use the parameter value frequencies afterwards?
5214
Model evidence and Bayesian model selection
145730
Idea and intuition behind quasi maximum likelihood estimation (QMLE)
146008
Why do we usually choose to minimize the sum of square errors (SSE) when fitting a model?
42178
Maximum Likelihood Estimator for $\theta$ when $X_1,\dots, X_n \sim U(-\theta,\theta)$
29411
Why P>0.5 cutoff is not "optimal" for logistic regression?
136769
Intuition behind Weight of Evidence and Information Value formula
28675
Relationship between the probability and likelihood functions
78093
Computation of likelihood when $n$ is very large, so likelihood gets very small?
128349
Expected maximum of sub-Gaussian
66913
Why does the maximum/minimum of linear programming occurs at a vertex?
135943
If X is a Geometric random variable with parameter p, find p that maximizes P(X=k)
156916
Intuitive and Formulaic Justification for the Rao-Blackwell Theorem