ArticleJournal of the American Statistical Association2017
Random Partition Distribution Indexed by Pairwise Information.
Article in Journal of the American Statistical Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Bayesian inference for asymptomatic COVID-19 infection rates.Statistics in medicine · 2022Pooled it
- A Bayesian nonparametric method for jointly clustering multiple spatial transcriptomic datasets and simultaneous gene selection.Scientific reports · 2025Article
- Functional Concurrent Regression Mixture Models Using Spiked Ewens-Pitman Attraction Priors.Bayesian analysis · 2024Article
- Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors.Biometrics · 2024Article
- Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data.Journal of machine learning research : JMLR · 2024Article
- Bayesian cluster analysis.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023Review
- Article
- A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV.Biometrics · 2022Article
- Centered Partition Processes: Informative Priors for Clustering (with Discussion).Bayesian analysis · 2021Article
- Latent Nested Nonparametric Priors (with Discussion).Bayesian analysis · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We propose a random partition distribution indexed by pairwise similarity information such that partitions compatible with the similarities are given more probability. The use of pairwise similarities, in the form of distances, is common in some clustering algorithms (e.g., hierarchical clustering), but we show how to use this type of information to define a prior partition distribution for flexible Bayesian modeling. A defining feature of the distribution is that it allocates probability among partitions within a
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.