<--- Back to Details
First PageDocument Content
Statistical theory / Information theory / Prior probability / Principle of maximum entropy / Fisher information / Entropy / Bayesian probability / Normal distribution / Bayesian inference / Statistics / Probability and statistics / Bayesian statistics
Date: 2011-01-26 11:56:45
Statistical theory
Information theory
Prior probability
Principle of maximum entropy
Fisher information
Entropy
Bayesian probability
Normal distribution
Bayesian inference
Statistics
Probability and statistics
Bayesian statistics

Entropic Priors Carlos C. Rodrguez Department of Mathematics and Statistics State University of New York at Albany E-Mail: [removed] October 4, 1991

Add to Reading List

Source URL: omega.albany.edu

Download Document from Source Website

File Size: 205,53 KB

Share Document on Facebook

Similar Documents

NEWS RELEASE For Immediate Release: June 6, 2018 For More Information, Contact: Shannon Fisher

NEWS RELEASE For Immediate Release: June 6, 2018 For More Information, Contact: Shannon Fisher

DocID: 1uBuK - View Document

Robustness Across the Structure of Sub-Networks: The Contrast Between Infection and Information Dynamics Patrick Grim,a Christopher Reade,b Daniel J. Singer,c Steven Fisher,d & Stephen Majewicze abc

Robustness Across the Structure of Sub-Networks: The Contrast Between Infection and Information Dynamics Patrick Grim,a Christopher Reade,b Daniel J. Singer,c Steven Fisher,d & Stephen Majewicze abc

DocID: 1up59 - View Document

Accepted for publication in Inform. Sciences: 214–223  Preprint Measures of statistical dispersion based on Shannon and Fisher information concepts Lubomir Kostal,∗ Petr Lansky, and Ondrej Pokora

Accepted for publication in Inform. Sciences: 214–223 Preprint Measures of statistical dispersion based on Shannon and Fisher information concepts Lubomir Kostal,∗ Petr Lansky, and Ondrej Pokora

DocID: 1tjQq - View Document

Bayes or likelihood: Convergence or Divergence Organizer: D.A.S. Fraser What model information is appropriate for the Bayesian paradigm? Don Fraser  Department of Statistics

Bayes or likelihood: Convergence or Divergence Organizer: D.A.S. Fraser What model information is appropriate for the Bayesian paradigm? Don Fraser Department of Statistics

DocID: 1sY32 - View Document

Bayes or likelihood: Convergence or Divergence Organizer: D.A.S. Fraser What model information is appropriate for the Bayesian paradigm? Don Fraser  Department of Statistics

Bayes or likelihood: Convergence or Divergence Organizer: D.A.S. Fraser What model information is appropriate for the Bayesian paradigm? Don Fraser Department of Statistics

DocID: 1sU08 - View Document