https://pure.iiasa.ac.at/id/eprint/13704 2021-08-27T17:41:33Z info:eu-repo/semantics/descriptiveMetadata https://pure.iiasa.ac.at/id/eprint/13704/ CONVERGENCE OF BAYESIAN ESTIMATIONS IN ADAPTIVE CONTROL SCHEMES. Yashin, A. 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. 1982-10 Article PeerReviewed Yashin, A. <https://pure.iiasa.ac.at/view/iiasa/2535.html> (1982). CONVERGENCE OF BAYESIAN ESTIMATIONS IN ADAPTIVE CONTROL SCHEMES. Richerche di Automatica 13 (1) 6-19. info:eu-repo/semantics/humanStartPage