DocumentCode :
1285816
Title :
The posterior probabilities of linearly constrained priors and interval-bounded conditionals
Author :
Snow, Paul
Author_Institution :
P.O. Box 6134, Concord, NH, USA
Volume :
26
Issue :
5
fYear :
1996
fDate :
9/1/1996 12:00:00 AM
Firstpage :
655
Lastpage :
659
Abstract :
This paper presents an exact linear inequality description of the posterior probabilities that arise from priors which satisfy a system of linear inequalities and which are revised by conditionals whose components fall within constant intervals. The posterior set is convex. The estimation of posterior intervals and other posterior functions is discussed
Keywords :
constraint theory; linear systems; probability; set theory; state estimation; convex priors; convex set; interval-bounded conditionals; linear constraint systems; linear inequality; linearly constrained priors; posterior probability; state estimation; Bayesian methods; Decision making; Distributed computing; Humans; Independent component analysis; Probability distribution; Snow; State estimation; Utility theory; Vectors;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/3468.531912
Filename :
531912
Link To Document :
بازگشت