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Dirichlet’ protsess
Dirichlet’ protsess
Käesolevas bakalaureusetöös antakse referatiivne ülevaade Dirichlet’ protsessi tähtsamatest omadustest ning selgitatakse nende olulisust mitteparameetrilise Bayesi statistika raames. Samuti käsitletakse Dirichlet’ protsessi konstrueerimise mõõduteoreetilisi eeldusi ning lõplikumõõtmelist Dirichlet’ jaotust. Töö tugineb suuresti Patrick Billingsley raamatule "Weak Convergence of Measures" ja Subhashis Ghosali ning Aad van der Vaarti raamatule "Fundamentals of Nonparametric Bayesian Inference".
- University of Tartu Estonia
juhuslikud protsessid, bakalaureusetöö, Dirichlet' jaotus, mõõduteooria, Dirichlet' protsess
juhuslikud protsessid, bakalaureusetöö, Dirichlet' jaotus, mõõduteooria, Dirichlet' protsess
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- University of Tartu Estonia
Käesolevas bakalaureusetöös antakse referatiivne ülevaade Dirichlet’ protsessi tähtsamatest omadustest ning selgitatakse nende olulisust mitteparameetrilise Bayesi statistika raames. Samuti käsitletakse Dirichlet’ protsessi konstrueerimise mõõduteoreetilisi eeldusi ning lõplikumõõtmelist Dirichlet’ jaotust. Töö tugineb suuresti Patrick Billingsley raamatule "Weak Convergence of Measures" ja Subhashis Ghosali ning Aad van der Vaarti raamatule "Fundamentals of Nonparametric Bayesian Inference".