ArticleBayesian analysis2013
Bayesian Nonparametric Inference - Why and How.
Article in Bayesian analysis, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Pyramid-based Bayesian modeling for high-resolution behavioral analysis.Journal of vision · 2026Article
- Nonparametric Bayes Differential Analysis of Multigroup DNA Methylation Data.Bayesian analysis · 2025Article
- VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data.Bioinformatics advances · 2025Article
- Bayesian Estimation of Propensity Scores for Integrating Multiple Cohorts with High-Dimensional Covariates.Statistics in biosciences · 2024Article
- Covering Hierarchical Dirichlet Mixture Models on binary data to enhance genomic stratifications in onco-hematology.PLoS computational biology · 2024Article
- Utility-based Bayesian personalized treatment selection for advanced breast cancer.Journal of the Royal Statistical Society. Series C, Applied statistics · 2022Article
- Review
- Assessing the Impact of Precision Parameter Prior in Bayesian Non-parametric Growth Curve Modeling.Frontiers in psychology · 2021Article
- Bayesian credible subgroup identification for treatment effectiveness in time-to-event data.PloS one · 2020Article
- Effect-Size Estimation Using Semiparametric Hierarchical Mixture Models in Disease-Association Studies with Neuroimaging Data.Computational and mathematical methods in medicine · 2020Article
- TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits.American journal of human genetics · 2019Article
- Bayesian non-parametric survival regression for optimizing precision dosing of intravenous busulfan in allogeneic stem cell transplantation.Journal of the Royal Statistical Society. Series C, Applied statistics · 2019Article
- Fully Bayesian analysis of RNA-seq counts for the detection of gene expression heterosis.Journal of the American Statistical Association · 2019Article
- From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering.Advances in data analysis and classification · 2019Article
- Multiplicity-adjusted semiparametric benefiting subgroup identification in clinical trials.Clinical trials (London, England) · 2018Article
- Bayesian nonparametric statistics: A new toolkit for discovery in cancer research.Pharmaceutical statistics · 2017Article
- Non-parametric genetic prediction of complex traits with latent Dirichlet process regression models.Nature communications · 2017Article
- Identifying Mixtures of Mixtures Using Bayesian Estimation.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2017Article
- Flexible Bayesian survival modeling with semiparametric time-dependent and shape-restricted covariate effects.Bayesian analysis · 2016Article
- Bayesian Nonparametric Estimation for Dynamic Treatment Regimes with Sequential Transition Times.Journal of the American Statistical Association · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We review inference under models with nonparametric Bayesian (BNP) priors. The discussion follows a set of examples for some common inference problems. The examples are chosen to highlight problems that are challenging for standard parametric inference. We discuss inference for density estimation, clustering, regression and for mixed effects models with random effects distributions. While we focus on arguing for the need for the flexibility of BNP models, we also review some of the more commonly used BNP models, thus hopefully answering a bit of both questions, why and how to use BNP.
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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.