Why the EM algorithm instead of a more direct computation?
102544
Why should one use EM vs. say, Gradient Descent with MLE?
145730
Idea and intuition behind quasi maximum likelihood estimation (QMLE)
40160
asymmetric errors with exponential
84128
Questions about acceptance rule of Metropolis algorithm
90215
Proof/Derivation of Residual Sum of Squares (Based on Introduction to Statistical Learning)
129771
Reparametrization trick with non-Gaussian distributions?
17754
Intuitive Understanding of the constant "$e$"
17809
How come such different methods result in the same number, $e$?
27632
What is an intuitive explanation of the Expectation Maximization technique?
78093
Computation of likelihood when $n$ is very large, so likelihood gets very small?
146008
Why do we usually choose to minimize the sum of square errors (SSE) when fitting a model?
58017
When is it necessary to estimate the covariance matrix instead of calculating it directly?
69253
Intuitive explanation of the shape of the Maxwell-Boltzmann distribution
127425
GEE, quasi-likelihood and what it generalizes
23922
Anscombe transform and normal approximation
85928
What is the deeper intuition behind the symmetric proposal distribution in the Metropolis-Hastings Algorithm?
54439
Theoretical motivation for using log-likelihood vs likelihood