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A Split-Merge Markov chain Monte Carlo Procedure for the Dirichlet Process Mixture Model

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0470013192.bsa231openalex-snapshot

Finite Mixture Distributions

inferredcites →https://doi.org/10.1002/9780470316726openalex-snapshot

Stochastic Simulation

inferredcites →https://doi.org/10.1007/978-1-4612-1732-9_2openalex-snapshot

Computational Methods for Mixture of Dirichlet Process Models

inferredcites →https://doi.org/10.1007/978-94-009-5564-6openalex-snapshot

An Introduction to Latent Variable Models

inferredcites →https://doi.org/10.1007/978-94-017-2219-3_14openalex-snapshot

Bayesian Mixture Modeling

inferredcites →https://doi.org/10.1016/b978-0-12-589320-6.50018-6openalex-snapshot

BAYESIAN DENSITY ESTIMATION BY MIXTURES OF NORMAL DISTRIBUTIONS11This research was partially supported by the National Science Foundation under Grant MCS77-2121.

inferredcites →https://doi.org/10.1016/s0927-0507(03)10006-0openalex-snapshot

Monte Carlo Sampling Methods

inferredcites →https://doi.org/10.1063/1.1699114openalex-snapshot

Equation of State Calculations by Fast Computing Machines

inferredcites →https://doi.org/10.1080/01621459.1994.10476468openalex-snapshot

Estimating Normal Means with a Dirichlet Process Prior

inferredcites →https://doi.org/10.1080/01621459.1995.10476550openalex-snapshot

Bayesian Density Estimation and Inference Using Mixtures

inferredcites →https://doi.org/10.1080/01621459.2000.10474285openalex-snapshot

Computational and Inferential Difficulties with Mixture Posterior Distributions

inferredcites →https://doi.org/10.1080/03610919408813196openalex-snapshot

Estimating normal means with a conjugate style dirichlet process prior

inferredcites →https://doi.org/10.1080/10618600.2000.10474879openalex-snapshot

Markov Chain Sampling Methods for Dirichlet Process Mixture Models

inferredcites →https://doi.org/10.1093/biomet/57.1.97openalex-snapshot

Monte Carlo sampling methods using Markov chains and their applications

inferredcites →https://doi.org/10.1093/biomet/83.2.275openalex-snapshot

A semiparametric Bayesian model for randomised block designs

inferredcites →https://doi.org/10.1111/1467-9469.00242openalex-snapshot

Modelling Heterogeneity With and Without the Dirichlet Process

inferredcites →https://doi.org/10.1201/b14835openalex-snapshot

Markov Chain Monte Carlo in Practice

inferredcites →https://doi.org/10.1214/aos/1176325750openalex-snapshot

Markov Chains for Exploring Posterior Distributions

inferredcites →https://doi.org/10.1214/aos/1176342372openalex-snapshot

Ferguson Distributions Via Polya Urn Schemes

inferredcites →https://doi.org/10.1214/aos/1176342871openalex-snapshot

Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems

inferredcites →https://doi.org/10.1214/ss/1028905934openalex-snapshot

Simulating normalizing constants: from importance sampling to bridge sampling to path sampling

inferredcites →https://doi.org/10.2307/2289504openalex-snapshot

Statistical Analysis of Finite Mixture Distributions.

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inferred← citeshttps://doi.org/10.2139/ssrn.4098134openalex-extracted

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inferred← citeshttps://doi.org/10.2139/ssrn.4753574openalex-extracted

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inferred← citeshttps://doi.org/10.1002/9780470061572.eqr473openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/9781118445112.stat03870openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/9781118445112.stat08367openalex-snapshot

Modern Bayesian Entity Resolution

inferred← citeshttps://doi.org/10.1002/9781118445112.stat08373openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/bimj.201600086openalex-snapshot

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Nonparametric hierarchical Bayes analysis of binomial data via Bernstein polynomial priors

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inferred← citeshttps://doi.org/10.1016/j.envint.2016.02.011openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.gmod.2014.03.008openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.ijar.2016.11.008openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.insmatheco.2014.10.011openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.jmva.2010.03.009openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.jmva.2013.01.011openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.jspi.2004.09.015openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.jspi.2007.09.012openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131119openalex-snapshot

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inferred← citeshttps://doi.org/10.1037/rev0000031openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/01431161.2022.2058893openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/01621459.2012.682530openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/01621459.2015.1105807openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/03610926.2014.894070openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/03610926.2017.1288249openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/10618600.2013.810151openalex-snapshot

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inferred← citeshttps://doi.org/10.1093/biostatistics/kxq013openalex-snapshot

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inferred← citeshttps://doi.org/10.1093/molbev/msp248openalex-snapshot

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inferred← citeshttps://doi.org/10.1093/oso/9780199214655.003.0007openalex-snapshot

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inferred← citeshttps://doi.org/10.1103/physreve.102.012305openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/access.2020.3005420openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/asonam.2014.6921554openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/ccgrid.2019.00066openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/cvpr.2008.4587620openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/cvpr.2016.478openalex-snapshot

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Convex Approximation to the Integral Mixture Models Using Step Functions

inferred← citeshttps://doi.org/10.1109/icdmw51313.2020.00045openalex-snapshot

Temporally-Reweighted Dirichlet Process Mixture Anomaly Detector

inferred← citeshttps://doi.org/10.1109/icpr.2008.4761289openalex-snapshot

Endmember detection using the Dirichlet process

inferred← citeshttps://doi.org/10.1109/icsi70302.2026.11544591openalex-snapshot

Enhanced Poisson Multi-Bernoulli Filter for Multi-Group Target Split-and-Combine Tracking

inferred← citeshttps://doi.org/10.1109/ivs.2017.7995696openalex-snapshot

Pedestrian tracking using Velodyne data — Stochastic optimization for extended object tracking

inferred← citeshttps://doi.org/10.1109/jbhi.2025.3567944openalex-snapshot

Scalable Bayesian Nonparametric Method for Clinical Risk Prediction Using Large-Scale Data From Heterogeneous Populations

inferred← citeshttps://doi.org/10.1109/lra.2024.3401128openalex-snapshot

Directionality-Aware Mixture Model Parallel Sampling for Efficient Linear Parameter Varying Dynamical System Learning

inferred← citeshttps://doi.org/10.1109/mlsp.2011.6064546openalex-snapshot

Infinite multiple membership relational modeling for complex networks

inferred← citeshttps://doi.org/10.1109/mlsp.2012.6349739openalex-snapshot

Identifying modular relations in complex brain networks

inferred← citeshttps://doi.org/10.1109/mlsp.2012.6349747openalex-snapshot

Modelling dense relational data

inferred← citeshttps://doi.org/10.1109/mlsp.2013.6661904openalex-snapshot

Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough

inferred← citeshttps://doi.org/10.1109/mlsp.2014.6958905openalex-snapshot

Nonparametric statistical structuring of knowledge systems using binary feature matches

inferred← citeshttps://doi.org/10.1109/mlsp.2015.7324384openalex-snapshot

Unsupervised segmentation of task activated regions in fMRI

inferred← citeshttps://doi.org/10.1109/mlsp.2016.7738908openalex-snapshot

The influence of hyper-parameters in the infinite relational model

inferred← citeshttps://doi.org/10.1109/mmul.2009.62openalex-snapshot

Diversifying Image Retrieval by Affinity Propagation Clustering on Visual Manifolds

inferred← citeshttps://doi.org/10.1109/mmul.2009.99openalex-snapshot

Diversifying Image Retrieval with Affinity-Propagation Clustering on Visual Manifolds

inferred← citeshttps://doi.org/10.1109/msp.2012.2235191openalex-snapshot

Nonparametric Bayesian modeling of complex networks: an introduction

inferred← citeshttps://doi.org/10.1109/nssmic.2007.4436469openalex-snapshot

Nonparametric bayesian inference in nuclear spectrometry

inferred← citeshttps://doi.org/10.1109/oceanssyd.2010.5603617openalex-snapshot

Dirichlet process mixture models for autonomous habitat classification

inferred← citeshttps://doi.org/10.1109/prni.2014.6858507openalex-snapshot

Nonparametric Bayesian clustering of structural whole brain connectivity in full image resolution

inferred← citeshttps://doi.org/10.1109/sdf.2019.8916656openalex-snapshot

Stochastic Partitioning for Extended Object Probability Hypothesis Density Filters

inferred← citeshttps://doi.org/10.1109/tap.2022.3215820openalex-snapshot

Bayesian Inference for Stochastic Multipath Radio Channel Models

inferred← citeshttps://doi.org/10.1109/taslp.2018.2852500openalex-snapshot

Dirichlet Process Mixture of Mixtures Model for Unsupervised Subword Modeling

inferred← citeshttps://doi.org/10.1109/tcbb.2020.3043857openalex-snapshot

Bayesian Modeling for Epistasis Analysis Using Data-Driven Reversible Jump

inferred← citeshttps://doi.org/10.1109/tgrs.2010.2041062openalex-snapshot

PCE: Piecewise Convex Endmember Detection

inferred← citeshttps://doi.org/10.1109/tgrs.2016.2606575openalex-snapshot

Computationally Efficient Hyperspectral Data Learning Based on the Doubly Stochastic Dirichlet Process

inferred← citeshttps://doi.org/10.1109/tiv.2017.2788184openalex-snapshot

Likelihood-Based Data Association for Extended Object Tracking Using Sampling Methods

inferred← citeshttps://doi.org/10.1109/tmm.2018.2877129openalex-snapshot

Automatic Depression Analysis Using Dynamic Facial Appearance Descriptor and Dirichlet Process Fisher Encoding

inferred← citeshttps://doi.org/10.1109/tnn.2009.2034851openalex-snapshot

A Dirichlet Process Mixture of Generalized Dirichlet Distributions for Proportional Data Modeling

inferred← citeshttps://doi.org/10.1109/tnnls.2014.2362012openalex-snapshot

Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data

inferred← citeshttps://doi.org/10.1109/tpami.2014.2318711openalex-snapshot

Fast Nonparametric Clustering of Structured Time-Series

inferred← citeshttps://doi.org/10.1109/tpami.2015.2498931openalex-snapshot

Infinite Factorial Unbounded-State Hidden Markov Model

inferred← citeshttps://doi.org/10.1109/tpami.2016.2515599openalex-snapshot

Bayesian Non-Parametric Clustering of Ranking Data

inferred← citeshttps://doi.org/10.1109/tpami.2018.2884905openalex-snapshot

Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes

inferred← citeshttps://doi.org/10.1109/tpami.2024.3386780openalex-snapshot

Context-Based Meta-Reinforcement Learning With Bayesian Nonparametric Models

inferred← citeshttps://doi.org/10.1109/tsm.2023.3248273openalex-snapshot

Bayesian Nonparametric Classification for Incomplete Data With a High Missing Rate: an Application to Semiconductor Manufacturing Data

inferred← citeshttps://doi.org/10.1109/tsp.2010.2070796openalex-snapshot

Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds

inferred← citeshttps://doi.org/10.1109/tsp.2010.2102756openalex-snapshot

Bayesian Nonparametric Inference of Switching Dynamic Linear Models

inferred← citeshttps://doi.org/10.1109/tsp.2011.2174791openalex-snapshot

An Effective Classification Framework for Brain–Computer Interfacing Based on a Combinatoric Setting

inferred← citeshttps://doi.org/10.1109/tsp.2025.3567916openalex-snapshot

Batch SLAM With PMBM Data Association Sampling and Graph-Based Optimization

inferred← citeshttps://doi.org/10.1111/biom.13314openalex-snapshot

Two‐group Poisson‐Dirichlet mixtures for multiple testing

inferred← citeshttps://doi.org/10.1111/biom.13388openalex-snapshot

A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomes

inferred← citeshttps://doi.org/10.1111/bmsp.12322openalex-snapshot

A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data

inferred← citeshttps://doi.org/10.1111/j.1365-294x.2008.04058.xopenalex-snapshot

Inferring recent migration rates from individual genotypes

inferred← citeshttps://doi.org/10.1111/j.1467-9469.2011.00765.xopenalex-snapshot

Clustering Gene Expression Data using a Posterior Split‐Merge‐Birth Procedure

inferred← citeshttps://doi.org/10.1111/j.1467-9868.2007.00629.xopenalex-snapshot

Clustering Using Objective Functions and Stochastic Search

inferred← citeshttps://doi.org/10.1111/j.1467-9868.2010.00756.xopenalex-snapshot

Bayesian Non-Parametric Hidden Markov Models with Applications in Genomics

inferred← citeshttps://doi.org/10.1111/j.1467-9876.2007.00569.xopenalex-snapshot

Semiparametric Bayesian Classification with longitudinal Markers

inferred← citeshttps://doi.org/10.1111/j.1541-0420.2005.00381.xopenalex-snapshot

Subset Clustering of Binary Sequences, with an Application to Genomic Abnormality Data

inferred← citeshttps://doi.org/10.1111/j.1541-0420.2006.00668.xopenalex-snapshot

Semiparametric Bayesian Inference for Multilevel Repeated Measurement Data

inferred← citeshttps://doi.org/10.1111/j.1541-0420.2008.01166.xopenalex-snapshot

Bayesian Nonparametric Nonproportional Hazards Survival Modeling

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