User talk:Nkartashov

=Maximum likelihood estimation: Difference between revisions=

Hey, you wrote in your edit that "(The likelihood function is bounded by 1 but may still increase without reaching the limit)". I think this is true for the likelihood of discrete variables, but not continuous ones. What do you think? Tal Galili (talk) 08:31, 1 August 2019 (UTC) I'm talking about this: https://en.wikipedia.org/w/index.php?title=Maximum_likelihood_estimation&curid=140806&diff=908728236&oldid=908294214
 * I am not sure I understand your message, when you say "I think this is true for the likelihood of discrete variables" which of these do you mean
 * 1) The likelihood function is bounded by 1
 * 2) may still increase without reaching the limit
 * I believe both can be true for the likelihood of continuous variables. 1 follows from the fact that likelihood function defines a joint probability distribution. For 2 one can imagine a fuction which asymptotically grows in infinity. Does this make sense?
 * I believe both can be true for the likelihood of continuous variables. 1 follows from the fact that likelihood function defines a joint probability distribution. For 2 one can imagine a fuction which asymptotically grows in infinity. Does this make sense?