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On Choosing Mixture Components via Non-Local Priors

https://doi.org/10.1111/rssb.12333
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What this work says

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

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Mixtures
inferredcites →https://doi.org/10.1002/bimj.201200111openalex-snapshot
Clustering in linear‐mixed models with a group fused lasso penalty
inferredcites →https://doi.org/10.1007/978-3-319-00032-9_35openalex-snapshot
High-Dimensional Bayesian Classifiers Using Non-Local Priors
inferredcites →https://doi.org/10.1007/978-3-7908-2064-5_11openalex-snapshot
Finite Mixtures of Generalized Linear Regression Models
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High-Content Flow Cytometry and Temporal Data Analysis for Defining a Cellular Signature of Graft-Versus-Host Disease
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Asymptotics for the likelihood ratio test in a two-component normal mixture model
inferredcites →https://doi.org/10.1017/cbo9780511800474openalex-snapshot
Algebraic Geometry and Statistical Learning Theory
inferredcites →https://doi.org/10.1080/01621459.1994.10476467openalex-snapshot
An Application of the Laplace Method to Finite Mixture Distributions
inferredcites →https://doi.org/10.1080/01621459.1995.10476550openalex-snapshot
Bayesian Density Estimation and Inference Using Mixtures
inferredcites →https://doi.org/10.1080/01621459.1995.10476635openalex-snapshot
Marginal Likelihood from the Gibbs Output
inferredcites →https://doi.org/10.1080/01621459.2012.682536openalex-snapshot
Bayesian Model Selection in High-Dimensional Settings
inferredcites →https://doi.org/10.1080/01621459.2015.1130634openalex-snapshot
Nonlocal Priors for High-Dimensional Estimation
inferredcites →https://doi.org/10.1080/01621459.2018.1537918openalex-snapshot
Bayesian Repulsive Gaussian Mixture Model
inferredcites →https://doi.org/10.1080/10618600.2016.1200472openalex-snapshot
Identifying Mixtures of Mixtures Using Bayesian Estimation
inferredcites →https://doi.org/10.1109/34.865189openalex-snapshot
Assessing a mixture model for clustering with the integrated completed likelihood
inferredcites →https://doi.org/10.1109/tit.2012.2221122openalex-snapshot
Consistent order estimation and minimal penalties
inferredcites →https://doi.org/10.1111/1467-9868.00095openalex-snapshot
On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion)
inferredcites →https://doi.org/10.1111/biom.12482openalex-snapshot
Bayesian Inference for Latent Biologic Structure With Determinantal Point Processes (DPP)
inferredcites →https://doi.org/10.1111/j.1368-423x.2004.00125.xopenalex-snapshot
Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques*
inferredcites →https://doi.org/10.1111/j.1467-9868.2009.00730.xopenalex-snapshot
On the use of Non-Local Prior Densities in Bayesian Hypothesis Tests
inferredcites →https://doi.org/10.1111/j.1467-9868.2011.00781.xopenalex-snapshot
Asymptotic Behaviour of the Posterior Distribution in Overfitted Mixture Models
inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1111/rssb.12187openalex-snapshot
A Bayesian Information Criterion for Singular Models
inferredcites →https://doi.org/10.1177/096228029600500204openalex-snapshot
Mixture distributions in human genetics research
inferredcites →https://doi.org/10.1198/016214502760047131openalex-snapshot
Model-Based Clustering, Discriminant Analysis, and Density Estimation
inferredcites →https://doi.org/10.1198/jcgs.2010.08111openalex-snapshot
Combining Mixture Components for Clustering
inferredcites →https://doi.org/10.1201/9780429258411openalex-snapshot
Bayesian Data Analysis
inferredcites →https://doi.org/10.1214/009053605000000417openalex-snapshot
The topography of multivariate normal mixtures
inferredcites →https://doi.org/10.1214/009053606000001271openalex-snapshot
Posterior convergence rates of Dirichlet mixtures at smooth densities
inferredcites →https://doi.org/10.1214/009053607000000857openalex-snapshot
Bounds for Bayesian order identification with application to mixtures
inferredcites →https://doi.org/10.1214/08-aos651openalex-snapshot
Hypothesis test for normal mixture models: The EM approach
inferredcites →https://doi.org/10.1214/09-aos689openalex-snapshot
Identifiability of parameters in latent structure models with many observed variables
inferredcites →https://doi.org/10.1214/13-sts433openalex-snapshot
The Whetstone and the Alum Block: Balanced Objective Bayesian Comparison of Nested Models for Discrete Data
inferredcites →https://doi.org/10.1214/15-ba941openalex-snapshot
On Posterior Concentration in Misspecified Models
inferredcites →https://doi.org/10.1214/15-ba970openalex-snapshot
Importance Sampling Schemes for Evidence Approximation in Mixture Models
inferredcites →https://doi.org/10.1214/15-ba981openalex-snapshot
A New Family of Non-Local Priors for Chain Event Graph Model Selection
inferredcites →https://doi.org/10.1214/16-aos1444openalex-snapshot
Convergence rates of parameter estimation for some weakly identifiable finite mixtures
inferredcites →https://doi.org/10.1214/aoms/1177698520openalex-snapshot
On the Identifiability of Finite Mixtures
inferredcites →https://doi.org/10.1214/aoms/1177703862openalex-snapshot
Identifiability of Finite Mixtures
inferredcites →https://doi.org/10.1214/aos/1013203452openalex-snapshot
Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.1214/aos/1176345353openalex-snapshot
Note on the Consistency of the Maximum Likelihood Estimate for Nonidentifiable Distributions
inferredcites →https://doi.org/10.1214/aos/1176348772openalex-snapshot
Consistent Estimation of a Mixing Distribution
inferredcites →https://doi.org/10.1214/aos/1176349557openalex-snapshot
A Constrained Formulation of Maximum-Likelihood Estimation for Normal Mixture Distributions
inferredcites →https://doi.org/10.1371/journal.pone.0131739openalex-snapshot
Overfitting Bayesian Mixture Models with an Unknown Number of Components
inferredcites →https://doi.org/10.2307/2348930openalex-snapshot
Deconvolution of Mixtures in Analysis of Neural Synaptic Transmission
inferredcites →https://doi.org/10.48550/arxiv.0804.2414openalex-snapshot
Approximating the marginal likelihood in mixture models
inferredcites →https://doi.org/10.48550/arxiv.1208.6338openalex-snapshot
A Widely Applicable Bayesian Information Criterion
inferredcites →https://doi.org/10.5705/ss.202016.0167openalex-snapshot
Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-dimensional Settings

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Distributed online expectation-maximization algorithm for Poisson mixture model
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A game-inspired algorithm for marginal and global clustering
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Density regression using repulsive distributions
inferred← citeshttps://doi.org/10.1080/01621459.2023.2191821openalex-snapshot
Cohesion and Repulsion in Bayesian Distance Clustering
inferred← citeshttps://doi.org/10.1080/10618600.2021.2000424openalex-snapshot
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes
inferred← citeshttps://doi.org/10.1093/biomet/asae059openalex-snapshot
Bayesian clustering of high-dimensional data via latent repulsive mixtures
inferred← citeshttps://doi.org/10.1093/jrsssb/qkae096openalex-snapshot
Repulsion, chaos, and equilibrium in mixture models
inferred← citeshttps://doi.org/10.1098/rsta.2022.0149openalex-snapshot
Bayesian cluster analysis
inferred← citeshttps://doi.org/10.1214/19-ba1150openalex-snapshot
Determinantal Point Process Mixtures Via Spectral Density Approach
inferred← citeshttps://doi.org/10.1214/19-ba1189openalex-snapshot
An Explanatory Rationale for Priors Sharpened Into Occam’s Razors
inferred← citeshttps://doi.org/10.1214/20-ba1240openalex-snapshot
Heterogeneous Large Datasets Integration Using Bayesian Factor Regression
inferred← citeshttps://doi.org/10.1214/24-aoas1892openalex-snapshot
Bayesian sparse vector autoregressive switching models with application to human gesture phase segmentation
inferred← citeshttps://doi.org/10.1214/24-ba1502openalex-snapshot
On the Stability of General Bayesian Inference
inferred← citeshttps://doi.org/10.3150/20-bej1275openalex-snapshot
On posterior contraction of parameters and interpretability in Bayesian mixture modeling
inferred← citeshttps://doi.org/10.48550/arxiv.1909.07550openalex-snapshot
Multiclass classification of growth curves using random change points and heterogeneous random effects
inferred← citeshttps://doi.org/10.6084/m9.figshare.16967325openalex-snapshot
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes
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