Example: quiz answers
Lecture 20 | Bayesian analysis

Lecture 20 | Bayesian analysis

Back to document page

Lecture 20 | Bayesian analysis Our treatment of parameter estimation thus far has assumed that is an unknown but non-random quantity|it is some xed parameter describing the true distribution of data, and our goal was to determine this parameter. This is the called the frequentist paradigm of statistical inference.

  Lecture, Analysis

Download Lecture 20 | Bayesian analysis


Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Other abuse

Advertisement

Related search queries