ArticleJournal of the American Statistical Association2011
Bayesian Kernel Mixtures for Counts.
Article in Journal of the American Statistical Association, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Sparse Bayesian Group Factor Model for Feature Interactions in Multiple Count Tables Data.Journal of the American Statistical Association · 2025Article
- A hierarchical constrained density regression model for predicting cluster-level dose-response.Environmetrics · 2024Article
- Joint quantile disease mapping with application to malaria and G6PD deficiency.Royal Society open science · 2024Article
- Under-reported time-varying MINAR(1) process for modeling multivariate count series.Computational statistics & data analysis · 2023Article
- Bayesian cluster analysis.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023Review
- Bayesian semiparametric joint modeling of a count outcome and inconveniently timed longitudinal predictors.Statistical methods in medical research · 2023Article
- BAYESIAN NON-HOMOGENEOUS HIDDEN MARKOV MODEL WITH VARIABLE SELECTION FOR INVESTIGATING DRIVERS OF SEIZURE RISK CYCLING.The annals of applied statistics · 2023Article
- A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data.Journal of the American Statistical Association · 2023Article
- Bayesian Analysis of Finite Populations under Simple Random Sampling.Entropy (Basel, Switzerland) · 2021Article
- Bayesian Joint Modeling of Multiple Brain Functional Networks.Journal of the American Statistical Association · 2021Article
- Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions.Journal of the American Statistical Association · 2019Article
- Bayesian variable selection with graphical structure learning: Applications in integrative genomics.PloS one · 2018Article
- Nonparametric spatial models for clustered ordered periodontal data.Journal of the Royal Statistical Society. Series C, Applied statistics · 2016Article
- Nonparametric Bayes modeling with sample survey weights.Statistics & probability letters · 2016Article
- A Bayesian Semi-parametric Approach for the Differential Analysis of Sequence Counts Data.Journal of the Royal Statistical Society. Series C, Applied statistics · 2014Article
- GSVA: gene set variation analysis for microarray and RNA-seq data.BMC bioinformatics · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Although Bayesian nonparametric mixture models for continuous data are well developed, there is a limited literature on related approaches for count data. A common strategy is to use a mixture of Poissons, which unfortunately is quite restrictive in not accounting for distributions having variance less than the mean. Other approaches include mixing multinomials, which requires finite support, and using a Dirichlet process prior with a Poisson base measure, which does not allow smooth deviations from the Poisson. As a broad class of alternative models, we propose to use nonparametric mixtures of rounded continuous kernels. An efficient Gibbs sampler is developed for posterior computation, and a simulation study is performed to assess performance. Focusing on the rounded Gaussian case, we generalize the modeling framework to account for multivariate count data, joint modeling with continuous and categorical variables, and other complications. The methods are illustrated through applications to a developmental toxicity study and marketing data. This article has supplementary material online.
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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.