Year: 2007
Type: conference-paper
Abstract: All priors are not created equal. There are right and there are wrong priors. That is the main conclusion of this contribution. I use, a cooked‐up example designed to create drama, and a typical textbook example to show the pervasiveness of wrong priors in standard statistical practice.
Source: AIP conference proceedings
DOI: 10.1063/1.2821300
Institution: University at Albany, State University of New York
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3038030445
