Sucks that the youtube algoritm doesn't find good youtube channels that explains in good details. But it feels good after you found one. Thank you for this video. Very helpful.
Well then, I'll add a video or two on decision theory. LOL. Don't forget to subscribe and let others know about this channel. Many thanks for watching!
Thanks for letting me know that you like the videos. Much appreciated. I plan to cover decision in detail. Both from an estimation perspective and from a hypotheses testing perspective.
How come that integral at the end (say, the 5th to last identity) works out the way it does? If f as a function of x is a pdf relative to the lebesgue measure then it integrates to 1 when integrated over x. But when integrated over theta it is in general not a pdf and in general doesn't integrate to 1. Also integrating over the whole real line except at an isolated point (theta hat) should just integrate to the same as the integral over the whole real line, given that a single point has lebesgue measure cero. It seems I'm missing a lot of things here. Any tips?
In the Bayes paradigm f(theta | x) is a pdf with respect to theta. x is considered fixed after the sample is collected. I hope this helps. Many thanks for watching! Don't forget to subscribe and let others know about this channel.
Many thanks for watching, don't forget to subscribe and spread the news about this channel. I don't have a book that i can refer. Although, about a month ago, I downloaded a free book from Jean-Michel Marin and Christian Robert titled "Bayesian Essentials with R". In a few months I'll create a Bayesian playlist based on that book.
Sucks that the youtube algoritm doesn't find good youtube channels that explains in good details. But it feels good after you found one. Thank you for this video. Very helpful.
You are so welcome. Your comment makes my day! Many thanks for watching. Don't forget to let others know about this channel. Have a great day.
More people should view this, this is awesome presentation.
You made my night! Thanks for saying that. Many thanks for watching. Don't forget to subscribe and let others know about this channel.
Love your videos so much!! Perfect revision before exams
Many thanks for watching! I love hearing that the videos are helpful!
Would love to have your tutorials on Statistical Decision Theory. Your every tutorials are very helpful.
Well then, I'll add a video or two on decision theory. LOL. Don't forget to subscribe and let others know about this channel. Many thanks for watching!
@@statisticsmatthi is there aa playlist on decision theory?
Please, cover decision theory too. Your lessons are terrific.
Thanks for letting me know that you like the videos. Much appreciated. I plan to cover decision in detail. Both from an estimation perspective and from a hypotheses testing perspective.
Thank you so much for class, it really helped me a lot!!!!
You're welcome. I love hearing that the videos are helpful. Many thanks for watching and don't forget to subscribe.
How come that integral at the end (say, the 5th to last identity) works out the way it does? If f as a function of x is a pdf relative to the lebesgue measure then it integrates to 1 when integrated over x. But when integrated over theta it is in general not a pdf and in general doesn't integrate to 1. Also integrating over the whole real line except at an isolated point (theta hat) should just integrate to the same as the integral over the whole real line, given that a single point has lebesgue measure cero. It seems I'm missing a lot of things here. Any tips?
In the Bayes paradigm f(theta | x) is a pdf with respect to theta. x is considered fixed after the sample is collected. I hope this helps. Many thanks for watching! Don't forget to subscribe and let others know about this channel.
THANKS! I'll be appreciated if you could give a reference book for Bayesian Estimation.
Many thanks for watching, don't forget to subscribe and spread the news about this channel. I don't have a book that i can refer. Although, about a month ago, I downloaded a free book from Jean-Michel Marin and Christian Robert titled "Bayesian Essentials with R". In a few months I'll create a Bayesian playlist based on that book.
@@statisticsmattis that playlist available now?
Bruh. I. LOVE. YOU !!
SUBBED !!
Your comment made me smile. Love it. Many thanks for watching! Don't forget to let others know about the channel.
@@statisticsmatt , Will do Matt, will do. Thanks yet agan man :)
wauh!!!!!
hatur nuhun! Many thanks for watching. Don't forget to subscribe and let others know about this channel.