About: Ferguson Distributions Via Polya Urn Schemes

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article by David Blackwell & James B. MacQueen published March 1973 in Annals of Statistics

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в березні 1973 (uk) im März 1973 veröffentlichter wissenschaftlicher Artikel (de) article by David Blackwell & James B. MacQueen published March 1973 in Annals of Statistics (en)
publication date	wds:Q56456748-FE06ED37-3F5A-4291-9208-4C6FB4F0C456
publication date	1973-03-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q56456748-50d0f4ad-47ce-addb-3ca7-f54efd49ffc0
language of work or name	English
author name string	wds:Q56456748-6866BA01-13A8-41B7-B505-FD5B7A49BDFB wds:Q56456748-ADE102AE-E33D-4BB0-B543-5D8767B7F62E
author name string	David Blackwell James B. MacQueen
rdfs:label	Ferguson Distributions Via Polya Urn Schemes (en) Ferguson Distributions Via Polya Urn Schemes (nl)
skos:prefLabel	Ferguson Distributions Via Polya Urn Schemes (en) Ferguson Distributions Via Polya Urn Schemes (nl)
name	Ferguson Distributions Via Polya Urn Schemes (en) Ferguson Distributions Via Polya Urn Schemes (nl)
title	wds:Q56456748-0A1EE5AB-D318-4CED-B02D-25051155B51D
title	Ferguson Distributions Via Polya Urn Schemes (en)
page(s)	wds:Q56456748-FAFB4FDF-8FFE-49D3-A03C-FE28BCBCC8DC
page(s)	353-355
instance of	wds:Q56456748-C3A14032-74AE-4073-B417-933E1DA9D946
instance of	scholarly article
published in	wds:Q56456748-C7E52E49-C863-445B-BD58-7AD271E82F2F
published in	Annals of Statistics
issue	wds:Q56456748-E7794573-AB08-4504-90EE-5171C3B5D552
volume	wds:Q56456748-B222849D-4A4B-427A-814D-97B01B4964F9
issue	2
volume	1
DOI	wds:Q56456748-12E3F4E9-E7B2-45C1-B2F5-6C73A6740074
DOI	http://dx.doi.org/10.1214/AOS/1176342372
DOI	10.1214/AOS/1176342372
maintained by WikiProject	wds:Q56456748-33E5D51B-6261-4042-B88E-E22FA3C6CAB0
maintained by WikiProject	WikiProject Mathematics
zbMATH Open document ID	wds:Q56456748-91459475-47ee-eec1-42d6-f428e3c5049e
zbMATH Open document ID	0276.62010
ResearchGate publication ID	wds:Q56456748-8EEE22B9-4B2A-486D-8509-0A527BF61846
ResearchGate publication ID	38357646
JSTOR article ID	wds:Q56456748-6dd93797-4f7a-c863-534b-84fc97168260
JSTOR article ID	2958020
Mathematical Reviews ID	wds:Q56456748-db73a4b4-4257-5722-c537-eea44ea545ba
Mathematical Reviews ID	362614
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56456748
is cites work of	A Bayesian subgroup analysis with a zero-enriched Polya Urn scheme. Learning and generalization under ambiguity: an fMRI study The sampling theory of neutral alleles and an urn model in population genetics. hiHMM: Bayesian non-parametric joint inference of chromatin state maps Bayesian nonparametric centered random effects models with variable selection. Bayesian Hierarchical Semiparametric Modelling of Longitudinal Post-treatment Outcomes from Open Enrolment Therapy Groups Spiked Dirichlet Process Priors for Gaussian Process Models Modeling unobserved sources of heterogeneity in animal abundance using a Dirichlet process prior A Bayesian semiparametric model for bivariate sparse longitudinal data. Bayesian semiparametric model with spatially-temporally varying coefficients selection The multivariate beta process and an extension of the Polya tree model Nonparametric bayesian estimation of positive false discovery rates. Flexible shrinkage estimation of subgroup effects through Dirichlet process priors Variable selection in covariate dependent random partition models: an application to urinary tract infection Multiscale Community Blockmodel for Network Exploration Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations Subset clustering of binary sequences, with an application to genomic abnormality data Nonparametric Bayes inference for concave distribution functions Sparse graphs using exchangeable random measures. A Bayesian normal mixture accelerated failure time spatial model and its application to prostate cancer Impact of Physical Activity on Cognitive Decline, Dementia, and Its Subtypes: Meta-Analysis of Prospective Studies Bayesian sparse graphical models and their mixtures Non-inferiority and networks: inferring efficacy from a web of data Multiple imputation for missing values through conditional Semiparametric odds ratio models A Bayesian non-parametric Potts model with application to pre-surgical FMRI data A Nonparametric Bayesian Model for Local Clustering with Application to Proteomics Bayesian Nonparametric Longitudinal Data Analysis Inhomogeneous diffusion and ergodicity breaking induced by global memory effects. Weak ergodicity breaking induced by global memory effects. A Dirichlet process model for classifying and forecasting epidemic curves Signal detection in FDA AERS database using Dirichlet process Semiparametric analysis of two-level bivariate binary data Central limit theorem for a class of globally correlated random variables. A Pólya urn approach to information filtering in complex networks Bayesian nonparametric modeling for comparison of single-neuron firing intensities Hierarchical Dirichlet process model for gene expression clustering A flexible mixed-effect negative binomial regression model for detecting unusual increases in MRI lesion counts in individual multiple sclerosis patients Dirichlet process mixture models for unsupervised clustering of symptoms in Parkinson's disease Bayesian random effects selection in mixed accelerated failure time model for interval-censored data Latent features in similarity judgments: a nonparametric bayesian approach Meta-analysis using Dirichlet process Generalized species sampling priors with latent Beta reinforcements. Bayesian hierarchical multivariate formulation with factor analysis for nested ordinal data Clustering time-course microarray data using functional Bayesian infinite mixture model ChiRP: Chinese Restaurant Process Mixtures for Regression and Clustering A Predictive Study of Dirichlet Process Mixture Models for Curve Fitting Bayesian nonparametric clustering in phylogenetics: modeling antigenic evolution in influenza Joint modeling of longitudinal data and informative dropout time in the presence of multiple changepoints Heterogeneous reciprocal graphical models. Bayesian nonparametrics in protein remote homology search A Semi-parametric Bayesian Approach for Differential Expression Analysis of RNA-seq Data Bayesian Methods for Function Estimation Bayesian analysis of time-series data under case-crossover designs: posterior equivalence and inference A semiparametric mixture model for analyzing clustered competing risks data Bayesian semiparametric modeling for stochastic precedence, with applications in epidemiology and survival analysis

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