Optimization Algorithms and Maximum Likelihood

[@RUJedi]

As a stats instructor for business majors, this is one of the best, lightweight, and enjoyable explanations I've seen on KZbin for MLE. Great job!

[@QuantPsych]

Wow, thank you!

[@zimmejoc]

I was dying to make a comment on the last one. Tell her that she did AWESOME! Her energy is a chip off the ol' block

[@QuantPsych]

Thanks! She'll love to hear that :)

[@zimmejoc]

@@QuantPsych until she becomes a teenager.

[@caviper1]

Muy good!

[@Finger_Lock_]

Hey, as an applied stats student I just wanted to tell you that your videos are very helpful for additional information or a different angle on some topics we discuss in class. Last video with your daughter was great btw, she did so well. I think you could make it into a series, and by the time she finishes highschool she'll basically be a doctor in statistics lol

[@QuantPsych]

Ha! Great idea :)

[@yashagrahari]

Matt Parker : Stand-up Mathematician Your daughter : Stand-up Statistician. :)

[@QuantPsych]

They should collaborate

[@lorenzosenglish3939]

Hello Mr. Dustin! I'm an undergrad, soon Master's student and your youtube content has been an amazing learning experience! Thank you! Is there any chance you could do something about multivariate meta-analysis models? Like expanding on random vs mixed models used for meta-analyses? Thank you again!!

[@QuantPsych]

Possibly, but it's not my area of expertise.

[@ronburgundy9712]

This video was a helpful! Would you do video on maximum a posterior (MAP)?

[@antipro85]

Great video! How were the likelihood's calculated from the table?

[@QuantPsych]

Likelihood = pnorm(Location, mean=Guess, sd = sd(x)))

[@antipro85]

@@QuantPsych Awesome! Thanks!

[@luizgualmeida]

Great video again! BTW, Live class link is broken

[@QuantPsych]

Ah, Thank you. It should be working now.