Could you help me? I have a question about a function which be conditional to Bernoulli variable. I was thinking to could use the bayesian estimation with a function beta but I might simulate with monte carlo method in R. What do you think?. Thanks!
6:00 If you're using the beta(1,1) prior to determine the point estimate of the parameter, the posterior is affected because the mean of the posterior distribution is = (alpha + y) / (n + alpha + beta). This mean is different from the MLE. No? ruclips.net/video/25-PpMSrAGM/видео.html
Well explained. Thanks, Daniel. Cheers from the Technical University of Denmark!
Daniel I'm a statistics masters student and this is excellent.
Did you use R to product the graphs and find the intervals?
Could you help me? I have a question about a function which be conditional to Bernoulli variable. I was thinking to could use the bayesian estimation with a function beta but I might simulate with monte carlo method in R. What do you think?. Thanks!
6:00 If you're using the beta(1,1) prior to determine the point estimate of the parameter, the posterior is affected because the mean of the posterior distribution is = (alpha + y) / (n + alpha + beta). This mean is different from the MLE. No? ruclips.net/video/25-PpMSrAGM/видео.html
mamzing!!
mama miyaaa
Btw, Thomas Bayes was a priest. Good video though!
Daniel I'm a statistics masters student and this is excellent.
Did you use R to produce the graphs and find the intervals?