eprintid: 13704
rev_number: 6
eprint_status: archive
userid: 353
dir: disk0/00/01/37/04
datestamp: 2016-08-12 09:34:30
lastmod: 2021-08-27 17:41:33
status_changed: 2016-08-12 09:34:30
type: article
metadata_visibility: show
item_issues_count: 1
creators_name: Yashin, A.
creators_id: AL1394
title: CONVERGENCE OF BAYESIAN ESTIMATIONS IN ADAPTIVE CONTROL SCHEMES.
ispublished: pub
abstract: 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.
date: 1982-10
date_type: published
creators_browse_id: 2535
full_text_status: none
publication: Richerche di Automatica
volume: 13
number: 1
pagerange: 6-19
refereed: TRUE
issn: 00488291
coversheets_dirty: FALSE
fp7_project: no
fp7_type: info:eu-repo/semantics/article
citation:   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.