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Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Further results on a class of distributions which includes the normal ones
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Robust Inference for State-Space Models with Skewed Measurement Noise
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Identification of Nonlinear State-Space Systems With Skewed Measurement Noises
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A Block EM Algorithm for Multivariate Skew Normal and Skew $t$ -Mixture Models
inferred← citeshttps://doi.org/10.1109/tr.2025.3601737openalex-snapshot
VBStMM-LLM: Robust Fault Identification Leveraging Variational Bayesian Student’s T-Mixture Modeling With Lifelong Learning Mechanism
inferred← citeshttps://doi.org/10.1109/tsp.2018.2865434openalex-snapshot
Skew-$t$ Filter and Smoother With Improved Covariance Matrix Approximation
inferred← citeshttps://doi.org/10.1109/tsp.2026.3724240openalex-snapshot
An Optimization Algorithm for State Estimation Under Heavy-Tailed and Skewed Noise
inferred← citeshttps://doi.org/10.1109/wids-psu57071.2023.00042openalex-snapshot
Extended Skew Kalman Filters for COVID-19 Pandemic State Estimation
inferred← citeshttps://doi.org/10.1111/anzs.12370openalex-snapshot
Bayesian hierarchical mixture models for detecting non‐normal clusters applied to noisy genomic and environmental datasets
inferred← citeshttps://doi.org/10.1111/biom.13328openalex-snapshot
A Bayesian multivariate mixture model for skewed longitudinal data with intermittent missing observations: An application to infant motor development
inferred← citeshttps://doi.org/10.1111/biom.13727openalex-snapshot
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics
inferred← citeshttps://doi.org/10.1111/insr.12588openalex-snapshot
Clustering Longitudinal Data: A Review of Methods and Software Packages
inferred← citeshttps://doi.org/10.1111/mice.13346openalex-snapshot
Characterization of mechanical properties of shale constituent minerals using phase‐identified nanoindentation
inferred← citeshttps://doi.org/10.1111/rssa.12307openalex-snapshot
Small Domain Estimation of Business Statistics by Using Multivariate Skew Normal Models
inferred← citeshttps://doi.org/10.1111/rssc.12585openalex-snapshot
Investigating the Association of a Sensitive Attribute with a Random Variable Using the Christofides Generalised Randomised Response Design and Bayesian Methods
inferred← citeshttps://doi.org/10.1117/1.jbo.23.2.026004openalex-snapshot
Pulsed terahertz imaging of breast cancer in freshly excised murine tumors
inferred← citeshttps://doi.org/10.1128/spectrum.03618-23openalex-snapshot
Advancing Toxoplasma gondii multiplex serology
inferred← citeshttps://doi.org/10.1137/18m122947xopenalex-snapshot
Singularity Structures and Impacts on Parameter Estimation in Finite Mixtures of Distributions
inferred← citeshttps://doi.org/10.1145/3532622openalex-snapshot
An Efficient Aggregation Method for the Symbolic Representation of Temporal Data
inferred← citeshttps://doi.org/10.1177/0013164420976773openalex-snapshot
Growth Mixture Modeling With Nonnormal Distributions: Implications for Data Transformation
inferred← citeshttps://doi.org/10.1177/0962280218815301openalex-snapshot
Shape invariant mixture model for clustering non-linear longitudinal growth trajectories
inferred← citeshttps://doi.org/10.1177/0962280219865579openalex-snapshot
A monotone data augmentation algorithm for longitudinal data analysis via multivariate skew-t, skew-normal or t distributions
inferred← citeshttps://doi.org/10.1177/1471082x251326360openalex-snapshot
Bayesian semiparametric inference for TVP-SVAR models with asymmetry and fat tails
inferred← citeshttps://doi.org/10.1186/1471-2105-12-358openalex-snapshot
Clustering with position-specific constraints on variance: Applying redescending M-estimators to label-free LC-MS data analysis
inferred← citeshttps://doi.org/10.1186/1471-2105-13-s5-s5openalex-snapshot
Parametric modeling of cellular state transitions as measured with flow cytometry
inferred← citeshttps://doi.org/10.1186/s12859-015-0862-zopenalex-snapshot
BayesFlow: latent modeling of flow cytometry cell populations
inferred← citeshttps://doi.org/10.1214/10-ba606openalex-snapshot
Model-based clustering of categorical time series
inferred← citeshttps://doi.org/10.1214/12-aoas623openalex-snapshot
A Bayesian linear model for the high-dimensional inverse problem of seismic tomography
inferred← citeshttps://doi.org/10.1214/14-ba908openalex-snapshot
Comment on Article by Finegold and Drton
inferred← citeshttps://doi.org/10.1214/15-ba980openalex-snapshot
Context-Dependent Score Based Bayesian Information Criteria
inferred← citeshttps://doi.org/10.1214/16-ba996openalex-snapshot
Bayesian Endogenous Tobit Quantile Regression
inferred← citeshttps://doi.org/10.1214/18-aoas1209openalex-snapshot
Sequential Dirichlet process mixtures of multivariate skew $t$-distributions for model-based clustering of flow cytometry data
inferred← citeshttps://doi.org/10.1214/18-ba1098openalex-snapshot
Variational Message Passing for Elaborate Response Regression Models
inferred← citeshttps://doi.org/10.1214/19-bjps446openalex-snapshot
Keeping the balance—Bridge sampling for marginal likelihood estimation in finite mixture, mixture of experts and Markov mixture models
inferred← citeshttps://doi.org/10.1214/22-ba1356openalex-snapshot
Coarsened Mixtures of Hierarchical Skew Normal Kernels for Flow and Mass Cytometry Analyses
inferred← citeshttps://doi.org/10.1214/22-bjps542openalex-snapshot
Finite mixtures of multivariate skew Student’s t distributions with independent logistic skewing functions
inferred← citeshttps://doi.org/10.1214/23-aoas1729openalex-snapshot
A Bayesian growth mixture model for complex survey data: Clustering postdisaster PTSD trajectories
inferred← citeshttps://doi.org/10.1214/24-sts966openalex-snapshot
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey
inferred← citeshttps://doi.org/10.12677/sa.2024.135166openalex-snapshot
Statistical Analysis for Exam Scores via Scale Mixture of Skew-Normal Distributions
inferred← citeshttps://doi.org/10.1360/scm-2018-0256openalex-snapshot
Penalized maximum likelihood estimation for skew normal mixtures
inferred← citeshttps://doi.org/10.1371/journal.pone.0066256openalex-snapshot
Cancer Subtype Discovery and Biomarker Identification via a New Robust Network Clustering Algorithm
inferred← citeshttps://doi.org/10.1371/journal.pone.0100334openalex-snapshot
Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data
inferred← citeshttps://doi.org/10.1371/journal.pone.0163636openalex-snapshot
Estimating Age-Specific Immunity and Force of Infection of Varicella Zoster Virus in Norway Using Mixture Models
inferred← citeshttps://doi.org/10.14196/sjpas.v3i7.1482openalex-snapshot
The label switching problem in mixture models
inferred← citeshttps://doi.org/10.1515/jqas-2021-0112openalex-snapshot
Bayesian modelling of elite sporting performance with large databases
inferred← citeshttps://doi.org/10.15476/elte.2019.069openalex-snapshot
Experience rating and stochastic reserving in general insurance
inferred← citeshttps://doi.org/10.18637/jss.v054.i12openalex-snapshot
mixsmsn: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions
inferred← citeshttps://doi.org/10.18637/jss.v055.i12openalex-snapshot
EMMIXuskew: AnRPackage for Fitting Mixtures of Multivariate Skew t Distributions via the EM Algorithm
inferred← citeshttps://doi.org/10.18869/acadpub.jirss.16.1.1003openalex-snapshot
On the Finite Mixture Modelling via Normal Mean-variance Birnbaum-Saunders Distribution
inferred← citeshttps://doi.org/10.18869/acadpub.jsri.13.2.197openalex-snapshot
Mixture of Normal Mean-Variance of Lindley Distributions
inferred← citeshttps://doi.org/10.1890/es13-00233.1openalex-snapshot
When things go wrong: intra‐season dynamics of breeding failure in a seabird
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An EKF algorithm based on a skew-t measurement noise model
inferred← citeshttps://doi.org/10.32614/cran.package.bayesmultimodeopenalex-snapshot
BayesMultiMode: Bayesian Mode Inference
inferred← citeshttps://doi.org/10.32614/rj-2024-017openalex-snapshot
BCClong: An R Package for Bayesian Consensus Clustering for Multiple Longitudinal Features
inferred← citeshttps://doi.org/10.3390/axioms8020038openalex-snapshot
Robust Mixture Modeling Based on Two-Piece Scale Mixtures of Normal Family
inferred← citeshttps://doi.org/10.3390/e18110382openalex-snapshot
Bounds on Rényi and Shannon Entropies for Finite Mixtures of Multivariate Skew-Normal Distributions: Application to Swordfish (Xiphias gladius Linnaeus)
inferred← citeshttps://doi.org/10.3390/jmse6040157openalex-snapshot
Towards Age Determination of Southern King Crab (Lithodes santolla) Off Southern Chile Using Flexible Mixture Modeling
inferred← citeshttps://doi.org/10.3390/math9020146openalex-snapshot
An Information-Theoretic Approach for Multivariate Skew-t Distributions and Applications
inferred← citeshttps://doi.org/10.3390/risks7020062openalex-snapshot
Analysis of Stochastic Reserving Models By Means of NAIC Claims Data
inferred← citeshttps://doi.org/10.3390/sym12010118openalex-snapshot
A Selective Overview of Skew-Elliptical and Related Distributions and of Their Applications
inferred← citeshttps://doi.org/10.3390/sym12040491openalex-snapshot
Bayesian Inference for Skew-Symmetric Distributions
inferred← citeshttps://doi.org/10.4310/sii.2014.v7.n1.a11openalex-snapshot
Linear mixed models for multiple outcomes using extended multivariate skew-$t$ distributions
inferred← citeshttps://doi.org/10.48550/arxiv.1302.0977openalex-snapshot
Bayesian inference for the multivariate skew-normal model: a Population Monte Carlo approach
inferred← citeshttps://doi.org/10.48550/arxiv.1305.3080openalex-snapshot
Informative Bayesian inference for the skew-normal distribution
inferred← citeshttps://doi.org/10.48550/arxiv.1403.4630openalex-snapshot
Penalising model component complexity: A principled, practical approach to constructing priors
inferred← citeshttps://doi.org/10.48550/arxiv.1411.2820openalex-snapshot
Supervised Classification of Flow Cytometric Samples via the Joint Clustering and Matching (JCM) Procedure
inferred← citeshttps://doi.org/10.48550/arxiv.1608.01513openalex-snapshot
Penalized Maximum Likelihood Estimator for Skew Normal Mixtures
inferred← citeshttps://doi.org/10.48550/arxiv.2001.06451openalex-snapshot
Coarsened mixtures of hierarchical skew normal kernels for flow cytometry analyses
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