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1
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Ohn I, Lin L. Optimal Bayesian estimation of Gaussian mixtures with growing number of components. BERNOULLI 2023. [DOI: 10.3150/22-bej1495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Affiliation(s)
- Ilsang Ohn
- Department of Statistics, Inha University, Incheon, Republic of Korea
| | - Lizhen Lin
- Department of Applied and Computational Mathematics and Statistics, The University of Notre Dame, Indiana, USA
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Manole T, Khalili A. Estimating the number of components in finite mixture models via the Group-Sort-Fuse procedure. Ann Stat 2021. [DOI: 10.1214/21-aos2072] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Tudor Manole
- Department of Statistics and Data Science, Carnegie Mellon University
| | - Abbas Khalili
- Department of Mathematics and Statistics, McGill University
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3
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Guha A, Ho N, Nguyen X. On posterior contraction of parameters and interpretability in Bayesian mixture modeling. BERNOULLI 2021. [DOI: 10.3150/20-bej1275] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Aritra Guha
- Department of Statistical Science, Duke University, Durham, NC, USA
| | - Nhat Ho
- Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX, USA
| | - XuanLong Nguyen
- Department of Statistics, University of Michigan, Ann Arbor, MI, USA
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