Class 23: An Infinity of Hypotheses (Bayes)

Lesson 23: An Infinity of Hypotheses (Bayes)

We continue right where we left off. We first assume as an APPROXIMATION we can have any fraction of bad widgets on the continuum. Then we calculate the predicted fraction after having seen some data. Then we introduce the APPROXIMATION to the APPROXIMATION, which is the normal.

HOMEWORK: Read Jaynes 4.6 until the end.

All questions will be answered in the following Monday's lecture.

Written lecture:
https://www.wmbriggs.com/post/52962/
https://wmbriggs.substack.com/p/148114398

Jaynes's book (first part): https://bayes.wustl.edu/etj/prob/book.pdf

Permanent class page: https://www.wmbriggs.com/class/

Uncertainty & Probability Theory: The Logic of Science