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Master thesis . 2022

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Bayesi segumudelid tiheduse hindamiseks

Name: Bayesi segumudelid tiheduse hindamiseks
Creator: Raihhelgauz, Mikael
Keywords: Gibbs sampling, Gibbsi valik, density estimation, tiheduse hindamine, Bayesi segumudelid, Bayesian statistics, Bayesian mixture models, Bayesi statistika

descriptionPublicationkeyboard_double_arrow_right Master thesis 01 Jan 2022 Estonia Estonian

Authors: Raihhelgauz, Mikael;

handle: 10062/83938

Bayesi segumudelid tiheduse hindamiseks

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Abstract

Magistritöö eesmärk on tutvustada levinumaid Bayesi segumudeleid ja vastavaid Gibbsi valikul põhinevaid meetodeid tiheduse ligikaudseks hindamiseks.Samuti illustreeritakse meetodite tööd arvutisimulatsioonide abil.

Country

Estonia

Related Organizations

University of Tartu
Estonia

Keywords

Gibbs sampling, Gibbsi valik, density estimation, tiheduse hindamine, Bayesi segumudelid, Bayesian statistics, Bayesian mixture models, Bayesi statistika

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