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Variable exponential forgetting for estimation of the statistics of the normal-Wishart distribution with a constant precision

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F19%3APU134599" target="_blank" >RIV/00216305:26620/19:PU134599 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CDC40024.2019.9029290" target="_blank" >http://dx.doi.org/10.1109/CDC40024.2019.9029290</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CDC40024.2019.9029290" target="_blank" >10.1109/CDC40024.2019.9029290</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Variable exponential forgetting for estimation of the statistics of the normal-Wishart distribution with a constant precision

  • Original language description

    The problem of estimating normal regression-type models with possibly time-varying regression parameters and constant noise precision is considered and examined from the Bayesian viewpoint. The solution we propose exploits a collaborative decision in order to face the incomplete model of parameter variations. Under this approach, a loss functional evaluating two prediction alternatives is constructed, which allows us to merge both alternatives, complying with the principles of optimization theory. Specifically, the posterior probability density function (pdf) and its flattened variant are combined by means of the geometric mean with automatically adjusted weights. The result is an automatic rescaling of the covariance matrix through the forgetting factor in response to empirically confirmed performance.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    58th Conference on Decision and Control

  • ISBN

    978-1-7281-1397-5

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    5094-5100

  • Publisher name

    IEEE

  • Place of publication

    Nice, France

  • Event location

    Nice, Francie

  • Event date

    Dec 11, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000560779004108