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Cited by 447

The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.

Nonparametric Bayesian Data Analysis

Open access
Müller, Peter, Quintana, Fernando A.·2004·Statistical Science

Abstract

We review the current state of nonparametric Bayesian inference. The discussion follows a list of important statistical inference problems, including density estimation, regression, survival analysis, hierarchical models and model validation. For each inference problem we review relevant nonparametric Bayesian models and approaches including Dirichlet process (DP) models and variations, Pólya trees, wavelet based models, neural network models, spline regression, CART, dependent DP models and model validation with DP and Pólya tree extensions of parametric models.

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Metadata

Authors
Müller, P., & Quintana, F. A.
Venue
Statistical Science
Published
2004-02-01
Volume
19
Issue
1
Pages
95-110
ISSN
0883-4237 (ISSN-L)
OpenAlex
W562826997
Cited by
447
References
83
FWCI
14.91
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Nonparametric Bayesian Data Analysis. https://app.cochat.ai/papers/10.1214/088342304000000017
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Müller, P., & Quintana, F. A. (2004). Nonparametric Bayesian Data Analysis. Statistical Science. https://doi.org/10.1214/088342304000000017

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.