Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis

Jan Greve; Bettina Grün; Gertraud Malsiner-Walli; Sylvia Frühwirth-Schnatter

doi:10.1111/anzs.12350

Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis

Jan Greve, Bettina Grün, Gertraud Malsiner-Walli, Sylvia Frühwirth-Schnatter

Institute for Statistics and Mathematics

Publication: Scientific journal › Journal article › peer-review

Original language	English
Pages (from-to)	205-229
Journal	Australian and New Zealand Journal of Statistics
Volume	64
Issue number	2
DOIs	https://doi.org/10.1111/anzs.12350
Publication status	Published - 2022

Austrian Classification of Fields of Science and Technology (ÖFOS)

101018 Statistics

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10.1111/anzs.12350Licence: Unspecified

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University Library Catalogue

Shrinking and Regularizing Finite Mixture Models
Frühwirth-Schnatter, S. & Malsiner-Walli, G.
1/11/16 → 30/04/22
Project: Research funding

Cite this

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title = "Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis",

author = "Jan Greve and Bettina Gr{\"u}n and Gertraud Malsiner-Walli and Sylvia Fr{\"u}hwirth-Schnatter",

year = "2022",

doi = "10.1111/anzs.12350",

language = "English",

volume = "64",

pages = "205--229",

journal = "Australian and New Zealand Journal of Statistics",

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publisher = "Wiley-Blackwell Publishing Ltd",

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AU - Greve, Jan

AU - Grün, Bettina

AU - Malsiner-Walli, Gertraud

AU - Frühwirth-Schnatter, Sylvia

PY - 2022

Y1 - 2022

U2 - 10.1111/anzs.12350

DO - 10.1111/anzs.12350

M3 - Journal article

SN - 1369-1473

VL - 64

SP - 205

EP - 229

JO - Australian and New Zealand Journal of Statistics

JF - Australian and New Zealand Journal of Statistics

IS - 2

ER -

Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis

Austrian Classification of Fields of Science and Technology (ÖFOS)

Access to Document

Check availability

Projects

Shrinking and Regularizing Finite Mixture Models

Cite this