DocumentCode
2061942
Title
Information closure of exponential families and generalized maximum likelihood estimates
Author
Csiszar, Ivan ; Matus, F.
Author_Institution
A. Renyi Inst. of Math., Hungarian Acad. of Sci., Budapest, Hungary
fYear
2002
fDate
2002
Firstpage
434
Abstract
Remedies to non-existence of a maximum likelihood estimate (MLE) in an exponential family or subfamily are offered: generalized MLE, and MLE in an information closure.
Keywords
exponential distribution; information theory; maximum likelihood estimation; MLE; exponential family; exponential subfamily; generalized maximum likelihood estimation; information closure; probability measures; Automation; Content addressable storage; Extraterrestrial measurements; Mathematics; Maximum likelihood estimation; Probability; Q measurement; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN
0-7803-7501-7
Type
conf
DOI
10.1109/ISIT.2002.1023706
Filename
1023706
Link To Document