= 27d567bc2d48d9f40e9ccc20ea370b15)
Houshalter comments on Open thread, Mar. 2 - Mar. 8, 2015 - Less Wrong Discussion
You are viewing a comment permalink. View the original post to see all comments and the full post content.
= 783df68a0f980790206b9ea87794c5b6)
Loading…= b715d02e85f7b3b4ae65ca3d3e450868)
Subscribe to RSS Feed
Powered by Reddit
= f037147d6e6c911a85753b9abdedda8d)
You are viewing a comment permalink. View the original post to see all comments and the full post content.
Comments (155)
Maximum Likelihood doesn't really lead to desirable behavior when the number of possibilities is very large. E.g. i roll a dice with a 2 and a 3 give you a dollar, and unrelated but horrible things happen on any other number.
Huh?
Maximum likelihood means taking the outcome with the highest probability relative to everything else, correct? This isn't really desirable since the outcome with the highest probability, might still have very low absolute probability.
No, not at all, what you are talking about is called the mode of the distribution.
Why don't you look at the links in my post?
And the equation.
I don't see how it's different than the mode. Even the graphs show it as being the same: 1 2.
Think about a bimodal distribution, for example. But in any case, we're talking about M-estimates, weren't we?