CONVERGENCE OF BAYESIAN ESTIMATIONS IN ADAPTIVE CONTROL SCHEMES.
Publication
, Journal Article
Yashin, A
Published in: Ricerche Di Automatica
October 1, 1982
This paper is devoted to the problem of finding strong consistency conditions for denumerable and uncountable sets of parameter values in the continuous time stochastic observation process. It turns out that the consistency property is often equivalent to the property of absolute continuity and singularity for some special family of probabilistic measures. The case of the uncountable set of parameter values yields more restraints on the links between unknown parameters and the observation process.
Duke Scholars
Published In
Ricerche Di Automatica
ISSN
0048-8291
Publication Date
October 1, 1982
Volume
13
Issue
1
Start / End Page
6 / 19
Citation
APA
Chicago
ICMJE
MLA
NLM
Yashin, A. (1982). CONVERGENCE OF BAYESIAN ESTIMATIONS IN ADAPTIVE CONTROL SCHEMES. Ricerche Di Automatica, 13(1), 6–19.
Yashin, A. “CONVERGENCE OF BAYESIAN ESTIMATIONS IN ADAPTIVE CONTROL SCHEMES.” Ricerche Di Automatica 13, no. 1 (October 1, 1982): 6–19.
Yashin A. CONVERGENCE OF BAYESIAN ESTIMATIONS IN ADAPTIVE CONTROL SCHEMES. Ricerche Di Automatica. 1982 Oct 1;13(1):6–19.
Yashin, A. “CONVERGENCE OF BAYESIAN ESTIMATIONS IN ADAPTIVE CONTROL SCHEMES.” Ricerche Di Automatica, vol. 13, no. 1, Oct. 1982, pp. 6–19.
Yashin A. CONVERGENCE OF BAYESIAN ESTIMATIONS IN ADAPTIVE CONTROL SCHEMES. Ricerche Di Automatica. 1982 Oct 1;13(1):6–19.
Published In
Ricerche Di Automatica
ISSN
0048-8291
Publication Date
October 1, 1982
Volume
13
Issue
1
Start / End Page
6 / 19