Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
For questions related to maximum likelihood estimation (MLE), which is a frequentist approach for estimating the parameters of an assumed probability distribution given some observed data. This is done by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable. The resulting estimate is known as the maximum likelihood estimate.
4
votes
1
answer
56
views
Likelihood function for Gaussian Discriminant Analsis
Im trying to understand how the likelhood function for gaussian discriminant analysis is derived. I self studying Murphy's Probabilistic Machine learning, and in it, he states the likelihood function …