DocumentCode :
3784808
Title :
Information projections revisited
Author :
I. Csiszar;F. Matus
Author_Institution :
Math. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Volume :
49
Issue :
6
fYear :
2003
Firstpage :
1474
Lastpage :
1490
Abstract :
The goal of this paper is to complete results available about I-projections, reverse I-projections, and their generalized versions, with focus on linear and exponential families. Pythagorean-like identities and inequalities are revisited and generalized, and generalized maximum-likelihood (ML) estimates for exponential families are introduced. The main tool is a new concept of extension of exponential families, based on our earlier results on convex cores of measures.
Keywords :
"Maximum likelihood estimation","Information theory","Convergence","Entropy","Mathematics","Automation","Statistics","Error correction","Density measurement"
Journal_Title :
IEEE Transactions on Information Theory
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2003.810633
Filename :
1201070
Link To Document :
بازگشت