LFD Book Forum  

Go Back   LFD Book Forum > Course Discussions > Online LFD course > The Final

Reply
 
Thread Tools Display Modes
  #1  
Old 12-02-2012, 10:13 AM
weiss weiss is offline
Junior Member
 
Join Date: Oct 2012
Posts: 8
Default Q19: What mathematical object is the posterior

Good evening,

trying to solve Q20, I realized I do not understand the mathematical nature of the prior/posterior. Your "definition" for the prior is P(h=f), but if h is a random variable with uniform distribution on [0,1] and f is some real number, the prior is just 0 for all f. The same holds of the posterior if the distribution of the random variable h conditioned by D is still of continuos nature.

My guess is that you are talking about h(f)'s density when asking questions about the properties of P(h=f | D) as a function. Is my guess correct?
Reply With Quote
  #2  
Old 12-02-2012, 11:32 AM
yaser's Avatar
yaser yaser is offline
Caltech
 
Join Date: Aug 2009
Location: Pasadena, California, USA
Posts: 1,477
Default Re: Q20: What mathematical object is the posterior

Quote:
Originally Posted by weiss View Post
My guess is that you are talking about h(f)'s density when asking questions about the properties of P(h=f | D) as a function. Is my guess correct?
Correct.
__________________
Where everyone thinks alike, no one thinks very much
Reply With Quote
  #3  
Old 12-02-2012, 02:32 PM
weiss weiss is offline
Junior Member
 
Join Date: Oct 2012
Posts: 8
Default Re: Q20: What mathematical object is the posterior

Thanks for the quick reply.
Reply With Quote
Reply

Thread Tools
Display Modes

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off

Forum Jump


All times are GMT -7. The time now is 03:26 AM.


Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2019, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, and participants in the Learning From Data MOOC by Yaser S. Abu-Mostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.