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Theory and Method

Estimating Normal Means with a Dirichlet Process Prior

Pages 268-277 | Received 01 Mar 1991, Published online: 27 Feb 2012

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Sudharman K. Jayaweera. 2014. Signal Processing for Cognitive Radios. Signal Processing for Cognitive Radios 721 739 .
Joseph G. Ibrahim, Ming‐Hui Chen & Debajyoti Sinha. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Purushottam W. Laud & Nicholas M. Pajewski. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Martijn van Hasselt. 2014. Bayesian Inference in the Social Sciences. Bayesian Inference in the Social Sciences 91 113 .
Tommi Suvitaival, Simon Rogers & Samuel Kaski. (2014) Stronger findings for metabolomics through Bayesian modeling of multiple peaks and compound correlations. Bioinformatics 30:17, pages i461-i467.
Crossref
Chien-Liang Liu, Tsung-Hsun Tsai & Chia-Hoang Lee. (2014) Online chinese restaurant process. Online chinese restaurant process.
Yize Zhao, Jian Kang & Tianwei Yu. (2014) A Bayesian nonparametric mixture model for selecting genes and gene subnetworks. The Annals of Applied Statistics 8:2.
Crossref
Juhee Lee, Steven N. MacEachern, Yiling Lu & Gordon B. Mills. (2014) Local-Mass Preserving Prior Distributions for Nonparametric Bayesian Models. Bayesian Analysis 9:2.
Crossref
Andriy Norets & Justinas Pelenis. (2013) POSTERIOR CONSISTENCY IN CONDITIONAL DENSITY ESTIMATION BY COVARIATE DEPENDENT MIXTURES. Econometric Theory 30:3, pages 606-646.
Crossref
Jung In Seo & Yongku Kim. (2014) Nonparametric Bayesian estimation on the exponentiated inverse Weibull distribution with record values. Journal of the Korean Data and Information Science Society 25:3, pages 611-622.
Crossref
Martin Burda & Artem Prokhorov. (2014) Copula based factorization in Bayesian multivariate infinite mixture models. Journal of Multivariate Analysis 127, pages 200-213.
Crossref
Nusrat HarunBo Cai. (2014) Bayesian random effects selection in mixed accelerated failure time model for interval-censored data. Statistics in Medicine 33:6, pages 971-984.
Crossref
Yisu Lu, Jun Jiang, Wei Yang, Qianjin Feng & Wufan Chen. (2014) Multimodal Brain-Tumor Segmentation Based on Dirichlet Process Mixture Model with Anisotropic Diffusion and Markov Random Field Prior. Computational and Mathematical Methods in Medicine 2014, pages 1-10.
Crossref
Lise Safatly, Mario Bkassiny, Mohammed Al-Husseini & Ali El-Hajj. (2014) Cognitive Radio Transceivers: RF, Spectrum Sensing, and Learning Algorithms Review. International Journal of Antennas and Propagation 2014, pages 1-21.
Crossref
Mark J. Jensen & John M. Maheu. (2014) Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture. Journal of Econometrics 178, pages 523-538.
Crossref
Carlos E. Rodríguez & Stephen G. Walker. (2012) Univariate Bayesian nonparametric mixture modeling with unimodal kernels. Statistics and Computing 24:1, pages 35-49.
Crossref
Jong-Hyeon JeongJong-Hyeon Jeong. 2014. Statistical Inference on Residual Life. Statistical Inference on Residual Life 119 139 .
Tamara Broderick, Jim Pitman & Michael I. Jordan. (2013) Feature Allocations, Probability Functions, and Paintboxes. Bayesian Analysis 8:4.
Crossref
Wentao Fan & Nizar Bouguila. (2013) Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection. Pattern Recognition 46:10, pages 2754-2769.
Crossref
Shi Li, Stuart Batterman, Feng-Chiao Su & Bhramar Mukherjee. (2013) Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions. Atmospheric Environment 77, pages 464-473.
Crossref
Reyhaneh Rikhtehgaran & Iraj Kazemi. (2013) Semi-parametric Bayesian estimation of mixed-effects models using the multivariate skew-normal distribution. Computational Statistics 28:5, pages 2007-2027.
Crossref
Koray Kayabol & Bilge Gunsel. (2013) Unsupervised classification of SAR images using normalized gamma process mixtures. Digital Signal Processing 23:5, pages 1344-1352.
Crossref
Tamara Broderick, Michael I. Jordan & Jim Pitman. (2013) Cluster and Feature Modeling from Combinatorial Stochastic Processes. Statistical Science 28:3.
Crossref
Stefano Favaro & Yee Whye Teh. (2013) MCMC for Normalized Random Measure Mixture Models. Statistical Science 28:3.
Crossref
Jung Seek Kim & Brian T. Ratchford. (2013) A Bayesian multivariate probit for ordinal data with semiparametric random-effects. Computational Statistics & Data Analysis 64, pages 192-208.
Crossref
Curtis Tatsuoka, Ferenc Varadi & Judith Jaeger. (2013) Latent Partially Ordered Classification Models and Normal Mixtures. Journal of Educational and Behavioral Statistics 38:3, pages 267-294.
Crossref
Felix Heinzl & Gerhard Tutz. (2013) Clustering in linear mixed models with approximate Dirichlet process mixtures using EM algorithm. Statistical Modelling 13:1, pages 41-67.
Crossref
Eswar G. PhadiaEswar G. Phadia. 2013. Prior Processes and Their Applications. Prior Processes and Their Applications 109 153 .
Eswar G. PhadiaEswar G. Phadia. 2013. Prior Processes and Their Applications. Prior Processes and Their Applications 1 108 .
Saheli Datta, Abel Rodriguez & Raquel Prado. (2012) Bayesian semiparametric regression models to characterize molecular evolution. BMC Bioinformatics 13:1.
Crossref
ERLANDSON F. SARAIVA & LUIS A. MILAN. (2012) Clustering Gene Expression Data using a Posterior Split‐Merge‐Birth Procedure. Scandinavian Journal of Statistics 39:3, pages 399-415.
Crossref
Jongsu Lee, Chul-Yong Lee & Kichun Sky Lee. (2012) Forecasting demand for a newly introduced product using reservation price data and Bayesian updating. Technological Forecasting and Social Change 79:7, pages 1280-1291.
Crossref
Fabio Rigat & Pietro Muliere. (2012) Nonparametric survival regression using the beta-Stacy process. Journal of Statistical Planning and Inference 142:9, pages 2688-2700.
Crossref
Taeyoung Park, Jong‐Hyeon JeongJae Won Lee. (2012) Bayesian nonparametric inference on quantile residual life function: Application to breast cancer data. Statistics in Medicine 31:18, pages 1972-1985.
Crossref
Tingting Zhang & Jun S. Liu. (2012) Nonparametric hierarchical Bayes analysis of binomial data via Bernstein polynomial priors. Canadian Journal of Statistics 40:2, pages 328-344.
Crossref
Robert L. Wolpert, Merlise A. Clyde & Chong Tu. (2011) Stochastic expansions using continuous dictionaries: Lévy adaptive regression kernels. The Annals of Statistics 39:4.
Crossref
Carter T. Butts. (2011) Bayesian Meta-Analysis of Social Network Data via Conditional Uniform Graph Quantiles. Sociological Methodology 41:1, pages 257-298.
Crossref
Christopher Yau & Chris Holmes. (2011) Hierarchical Bayesian nonparametric mixture models for clustering with variable relevance determination. Bayesian Analysis 6:2.
Crossref
Dimitris Rizopoulos & Pulak Ghosh. (2011) A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time‐to‐event. Statistics in Medicine 30:12, pages 1366-1380.
Crossref
Michael Braun & André Bonfrer. (2011) Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes. Marketing Science 30:3, pages 513-531.
Crossref
David B. Dunson & Abel Rodríguez. (2011) Nonparametric Bayesian models through probit stick-breaking processes. Bayesian Analysis 6:1.
Crossref
Li Su & Joseph W. Hogan. (2011) HIV dynamics and natural history studies: Joint modeling with doubly interval-censored event time and infrequent longitudinal data. The Annals of Applied Statistics 5:1.
Crossref
Meijuan Li & Timothy Hanson. (2011) Bayesian Non-Parametric Multivariate Statistical Models for Testing Association Between Quantitative Traits and Candidate Genes in Structured Populations. Journal of the Royal Statistical Society Series C: Applied Statistics 60:2, pages 207-219.
Crossref
Yeonseung Chung & David B. Dunson. (2009) The local Dirichlet process. Annals of the Institute of Statistical Mathematics 63:1, pages 59-80.
Crossref
Maria Kalli, Jim E. Griffin & Stephen G. Walker. (2009) Slice sampling mixture models. Statistics and Computing 21:1, pages 93-105.
Crossref
Ruth Fuentes–García, Ramsés H. Mena & Stephen G. Walker. (2010) A Probability for Classification Based on the Dirichlet Process Mixture Model. Journal of Classification 27:3, pages 389-403.
Crossref
Daniel Gianola, Xiao-Lin Wu, Eduardo Manfredi & Henner Simianer. (2010) A non-parametric mixture model for genome-enabled prediction of genetic value for a quantitative trait. Genetica 138:9-10, pages 959-977.
Crossref
Dilan Görür & Carl Edward Rasmussen. (2010) Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution. Journal of Computer Science and Technology 25:4, pages 653-664.
Crossref
F. Subtil & M. Rabilloud. (2010) Robust non‐linear mixed modelling of longitudinal PSA levels after prostate cancer treatment. Statistics in Medicine 29:5, pages 573-587.
Crossref
Maria De Iorio, Wesley O. Johnson, Peter Müller & Gary L. Rosner. (2009) Bayesian Nonparametric Nonproportional Hazards Survival Modeling. Biometrics 65:3, pages 762-771.
Crossref

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