About: On Supra-Bayesian weighted combination of available data determined by Kerridge inaccuracy ane entropy

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: On Supra-Bayesian weighted combination of available data determined by Kerridge inaccuracy ane entropy Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Every process in our environment can be described with a statistical model containing inner properties expressed by parameters. These are usually unknown and the determination of their values is of interest in the statistical branch called parameter estimation. This branch involves many methods solving different estimation cases, e.g. the estimation of location and scale parameters. To obtain the parameter estimate we exploit the data given by data sources. In particular, the estimate is their combination. Improvement of the parameter estimates involve the assignment of the weights to the data sources resulting in a weighted combination of data. In this paper we focus on the derivation of the weights arisen within the Supra-Bayesian approach and on the simulation study of their behaviour and the behaviour of the final estimate. Every process in our environment can be described with a statistical model containing inner properties expressed by parameters. These are usually unknown and the determination of their values is of interest in the statistical branch called parameter estimation. This branch involves many methods solving different estimation cases, e.g. the estimation of location and scale parameters. To obtain the parameter estimate we exploit the data given by data sources. In particular, the estimate is their combination. Improvement of the parameter estimates involve the assignment of the weights to the data sources resulting in a weighted combination of data. In this paper we focus on the derivation of the weights arisen within the Supra-Bayesian approach and on the simulation study of their behaviour and the behaviour of the final estimate. (en)
Title	On Supra-Bayesian weighted combination of available data determined by Kerridge inaccuracy ane entropy On Supra-Bayesian weighted combination of available data determined by Kerridge inaccuracy ane entropy (en)
skos:prefLabel	On Supra-Bayesian weighted combination of available data determined by Kerridge inaccuracy ane entropy On Supra-Bayesian weighted combination of available data determined by Kerridge inaccuracy ane entropy (en)
skos:notation	RIV/67985556:_____/13:00393989!RIV14-GA0-67985556
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(GA13-13502S)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Sečkárová, Vladimíra
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	93826
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/13:00393989
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Kerridge inaccuracy; maximum entropy principle; parameter estimation (en)
http://linked.open.../riv/klicoveSlovo	Kerridge inaccuracy maximum entropy principle parameter estimation
http://linked.open...odStatuVydavatele	BG - Bulharská republika
http://linked.open...ontrolniKodProRIV	[56F88EC96E65]
http://linked.open...i/riv/nazevZdroje	Pliska Studia Mathematica Bulgarica
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Fully Probabilistic Design of Dynamic Decision Strategies for Imperfect Participants in Market Scenarios
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	22
http://linked.open...iv/tvurceVysledku	Sečkárová, Vladimíra
issn	0204-9805
number of pages	10 (xsd:int)

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software