Search Algorithms and Loss Functions for Bayesian Clustering
Author:
Affiliation:
1. Department of Statistics, Brigham Young University, Provo, UT
2. Department of Statistics and Data Sciences, University of Texas at Austin, Austin, TX
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2022.2069779
Reference15 articles.
1. Bayesian cluster analysis
2. Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model
3. Multiple Hypothesis Testing by Clustering Treatment Effects
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5. Improved criteria for clustering based on the posterior similarity matrix
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