LFD Book Forum

LFD Book Forum (http://book.caltech.edu/bookforum/index.php)
-   Chapter 3 - The Linear Model (http://book.caltech.edu/bookforum/forumdisplay.php?f=110)
-   -   Problem 3.8 (http://book.caltech.edu/bookforum/showthread.php?t=4438)

luwei0917 10-06-2013 03:15 PM

Problem 3.8
 
I guess this problem we should use Bayes' Theorem but I don't know anything else. Can any one give some hints? Thanks.

magdon 10-06-2013 09:51 PM

Re: Problem 3.8
 
There is no conditioning here so there is no need to use Bayes theorem. This problem is the `function' analog of Problem 1.12(a), so you may want to have a look at that problem.

Quote:

Originally Posted by luwei0917 (Post 11535)
I guess this problem we should use Bayes' Theorem but I don't know anything else. Can any one give some hints? Thanks.


meixingdg 10-10-2013 03:05 AM

Re: Problem 3.8
 
Does anyone have a hint for how to show that the noise variable has expected value zero?

magdon 10-10-2013 09:12 AM

Re: Problem 3.8
 
Take expectations on both sides and use the definition of h^*

Quote:

Originally Posted by meixingdg (Post 11560)
Does anyone have a hint for how to show that the noise variable has expected value zero?



All times are GMT -7. The time now is 02:53 PM.

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.