1987 | OriginalPaper | Chapter
Bayesian Statistics in the Regional and Information Sciences
Author : Reinhard Viertl
Published in: Contributions to Stochastics
Publisher: Physica-Verlag HD
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
The development of Statistics shows growing importance of Bayesian Inference. Especially in applications where all available information has to be used the Bayesian paradigm is superior by the possibility of using expert information in the measurable form of a-priori distributions. Different inference techniques for “Regional- and Information Statistics” are pointed out where Bayesian methods are of advantage compared with classical statistical inference.