Why do we assume Gaussian margins in Gaussian mixture models
73996
Does assumption of normality of each mixture components implies that each margins is normal
5214
Model evidence and Bayesian model selection
118351
Confidence regions on bivariate normal distributions using $\hat{\Sigma}_{MLE}$ or $\mathbf{S}$
7978
How to initialize EM-algorithm when trying to fit data to a separable mixture model?
117183
Deriving the maximum likelihood for the parameters in linear regression
122077
Two correlated marginally Gaussian RV, but not Jointly Gaussian
30089
Is removing duplicate data necessary for Gaussian Process Regression (GPR)?
37027
the relationship between maximizing the likelihood and minimizing the cross-entropy
22871
Generating samples from singular Gaussian distribution
51457
Confusion in Gibbs sampling
108560
Proof of a Gaussian Integral property
63222
Expectation of the maximum of gaussian random variables
8228
Validity of maximising log-likelihood for maximum likelihood estimation
111321
When should we discretize/bin continuous independent variables/features and when should not?
61480
Why in Variational Auto Encoder (Gaussian variational family) we model $\log\sigma^2$ and not $\sigma^2$ (or $\sigma$) itself?
19647
The limit of a convergent Gaussian random variable sequence is still a Gaussian random variable
66805
Confusion about Maximum likelihood estimation