Robust mixture modeling based on scale mixtures of skew-normal distributions

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Computational Statistics & Data Analysis

• Publication date

  2010-12-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/j.csda.2009.09.031
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• LIKELIHOOD BASED INFERENCE FOR SKEW-NORMAL INDEPENDENT LINEAR MIXED MODELS

  2010cited by this paper
• Robust mixture modeling using multivariate skew t distributions

  2010cited by this paper
• Maximum likelihood estimation for multivariate skew normal mixture models

  2009cited by this paper
• Likelihood-Based Inference for Multivariate Skew-Normal Regression Models

  2007cited by this paper
• Robust mixture modeling using the skew t distribution

  2007cited by this paper
• Finite mixture modelling using the skew normal distribution

  2007cited by this paper
• The multivariate skew-slash distribution

  2006cited by this paper
• A unified view on skewed distributions arising from selections

  2006cited by this paper
• Finite Mixture and Markov Switching Models

  2006cited by this paper
• The Skew‐normal Distribution and Related Multivariate Families *

  2005cited by this paper
• Inferential Aspects of the Skew Exponential Power Distribution

  2004cited by this paper
• An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods

  2004cited by this paper
• Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models

  2003cited by this paper
• Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t‐distribution

  2003cited by this paper
• Asymptotic properties of the EM algorithm estimate for normal mixture models with component specific variances

  2003cited by this paper
• A General Class of Multivariate Skew-Elliptical Distributions

  2001cited by this paper
• Finite Mixture Models

  2000cited by this paper
• Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood

  2000cited by this paper
• Robust mixture modelling using the t distribution

  2000cited by this paper
• Computer-Assisted Analysis of Mixtures and Applications

  2000cited by this paper
• Robust Cluster Analysis via Mixtures of Multivariate t-Distributions

  1998cited by this paper
• Standard errors of fitted component means of normal mixtures

  1997cited by this paper
• A Linear Mixed-Effects Model with Heterogeneity in the Random-Effects Population

  1996cited by this paper
• The EM algorithm and extensions

  1996cited by this paper
• The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence

  1994cited by this paper
• The nontruncated marginal of a truncated bivariate normal distribution

  1993cited by this paper
• Maximum likelihood estimation via the ECM algorithm: A general framework

  1993cited by this paper
• On rates of convergence of efficient detection criteria in signal processing with white noise

  1989cited by this paper
• Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy

  1986cited by this paper
• A Probabilistic Representation of the 'Skew-normal' Distribution

  1986cited by this paper
• A class of distributions which includes the normal ones

  1985cited by this paper
• Algorithm AS136: A k-means clustering algorithm.

  1979cited by this paper
• A k-means clustering algorithm

  1979cited by this paper
• Estimating the Dimension of a Model

  1978cited by this paper
• Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

  1977cited by this paper
• A new look at the statistical model identification

  1974cited by this paper
• Scale Mixtures of Normal Distributions

  1974cited by this paper

• Flexible scale mixtures of skewed generalized normal distributions: properties and inference

  2026influential citation
• Mixture modeling, heavy tailedness, asymmetry and conditional heteroskedasticity in financial returns modelling

  2026cites this paper
• Likelihood-based inference for quantile regression using the skewed generalized normal distribution

  2026cites this paper
• On transformation discriminant analysis

  2026cites this paper
• Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions

  2025cites this paper
• Bounded data modeling using logit-skew-normal mixtures

  2025cites this paper
• Properties and Estimation of a Novel Skewed Generalized Normal Distribution

  2025cites this paper
• A penalized likelihood estimation for mixture regressions with skew-normal errors

  2025cites this paper
• Likelihood-based inference for interval censored regression models under heavy-tailed distributions

  2025influential citation
• Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions

  2025cites this paper
• Goodness-of-fit test for skew-t distribution

  2025influential citation
• Generalized Poisson regression model: properties, residual analysis, and machine learning

  2025cites this paper
• Birnbaum–Saunders Distribution Based on Asymmetric Heavy-Tailed Distributions, Associated Inference, and Application

  2025cites this paper
• Partial Least Squares models under skew-normal and skew-t settings with applications

  2025cites this paper
• A New Class of Binary Regression Models for Unbalanced Data with Applications in Medical Data

  2025cites this paper
• Change point detection for a skew normal distribution based on the Q-function

  2024cites this paper
• Statistical Analysis for Exam Scores via Scale Mixture of Skew-Normal Distributions

  2024cites this paper
• Classification Methods for the Serological Status Based on Mixtures of Skew-Normal and Skew-t Distributions

  2024cites this paper
• Finite mixture of regression models for censored data based on the skew-t distribution

  2024cites this paper
• Assessment of extreme records in environmental data through the study of stochastic orders for scale mixtures of skew normal vectors

  2024cites this paper
• Estimation in shape mixtures of skew-normal linear regression models via ECM coupled with Gibbs sampling

  2024cites this paper
• A novel skewed generalized normal distribution: properties, statistical inference, and its applications

  2024influential citation
• A novel finite mixture model based on generalized scale mixtures of generalized normal distributions with application to stock dataset

  2024cites this paper
• EM algorithm for bounded generalized t mixture model with an application to image segmentation

  2024cites this paper
• A Novel Finite Mixture Model Based on the Generalized t Distributions with Two-Sided Censored Data

  2024cites this paper
• A novel finite mixture model based on the generalized scale mixtures of asymmetric generalized normal distributions: properties, estimation methodology and applications

  2024influential citation
• Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution

  2024cites this paper
• Model-based clustering using a new multivariate skew distribution

  2023cites this paper
• Clustering asymmetrical data with outliers: Parsimonious mixtures of contaminated mean-mixture of normal distributions

  2023cites this paper
• Robust clustering based on finite mixture of multivariate fragmental distributions

  2023cites this paper
• The generalized scale mixtures of asymmetric generalized normal distributions with application to stock data

  2023cites this paper
• An EM algorithm for estimating the parameters of the skew generalized t-normal distribution with application to robust finite mixture modeling

  2023cites this paper
• Finite mixture of semiparametric multivariate skew-normal distributions

  2023cites this paper
• Some Theoretical and Computational Aspects of the Truncated Multivariate Skew-Normal/Independent Distributions

  2023cites this paper
• A non-iteration Bayesian sampling algorithm for robust seemingly unrelated regression models∗\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-6

  2023cites this paper
• Extending finite mixtures of nonlinear mixed-effects models with covariate-dependent mixing weights

  2022cites this paper
• A constrained maximum likelihood estimation for skew normal mixtures

  2022cites this paper
• Penalized maximum likelihood estimator for finite multivariate skew normal mixtures

  2022cites this paper
• Finite Mixture of Censored Linear Mixed Models for Irregularly Observed Longitudinal Data

  2022cites this paper
• Finite mixtures of multivariate skew Student’s t distributions with independent logistic skewing functions

  2022cites this paper
• Estimation for finite mixture of mode regression models using skew-normal distribution

  2022cites this paper
• A Comparison of the Bayesian and Non-Bayesian Approaches for the Periodic AR Models Based on the SMSN Innovations

  2022cites this paper
• Characterization Test for Multivariate Scale Mixtures of Skew- Normal Distributions

  2022cites this paper
• PAR(1) model analysis: a web-based shiny application for analysing periodic autoregressive models

  2022cites this paper
• A joint transition model for evaluating eGFR as biomarker for rejection after kidney transplantation

  2021cites this paper
• Analysis of cutoff point estimation for determining seropositivity in the context of SARS-CoV-2 infections

  2021cites this paper
• Texture retrieval based on multivariate Log-Gaussian mixture model

  2021cites this paper
• F INITE MIXTURE MODELING OF CENSORED AND MISSING DATA USING THE MULTIVARIATE SKEW-NORMAL DISTRIBUTION

  2021cites this paper
• Bootstrap approaches for homogeneous test of location parameters under skew-normal settings

  2021cites this paper
• Maximum Likelihood Estimation for the Asymmetric Exponential Power Distribution

  2021cites this paper
• Maximum likelihood estimation for scale-shape mixtures of flexible generalized skew normal distributions via selection representation

  2021cites this paper
• Skewness-Based Projection Pursuit as an Eigenvector Problem in Scale Mixtures of Skew-Normal Distributions

  2021cites this paper
• Analysis of antibody data using Finite Mixture Models based on Scale Mixtures of Skew-Normal distributions

  2021cites this paper
• An overview on the progeny of the skew-normal family - A personal perspective

  2021cites this paper
• EM algorithm for mixture of skew-normal distributions fitted to grouped data

  2020cites this paper
• Robust fitting of mixture models using weighted complete estimating equations

  2020cites this paper
• Clustering multivariate functional data in group-specific functional subspaces

  2020cites this paper
• Finite mixtures of skew Laplace normal distributions with random skewness

  2020cites this paper
• Finite mixture modeling using shape mixtures of the skew scale mixtures of normal distributions

  2020cites this paper
• Symmetrical and asymmetrical mixture autoregressive processes

  2020cites this paper
• Asymmetric heavy-tailed vector auto-regressive processes with application to financial data

  2020cites this paper
• Statistical Wavelet-based Image Denoising using Scale Mixture of Normal Distributions with Adaptive Parameter Estimation

  2020cites this paper
• Image denoising in undecimated dual-tree complex wavelet domain using multivariate t-distribution

  2020cites this paper
• Modeling tree diameters using mixtures of skewed Student’s t and related distributions

  2020cites this paper
• Transformation mixture modeling for skewed data groups with heavy tails and scatter

  2020cites this paper
• Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions

  2020cites this paper
• Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution

  2020cites this paper
• Finite mixtures of skew Laplace normal distributions with random skewness

  2020cites this paper
• A new class of skew distributions with climate data analysis

  2020cites this paper
• Issues in Gaussian Model-Based Clustering

  2020cites this paper
• Nonlinear semiparametric autoregressive model with finite mixtures of scale mixtures of skew normal innovations

  2019influential citation
• Variable selection in finite mixture of regression models using the skew-normal distribution

  2019cites this paper
• Scale Mixture Distribution

  2019cites this paper
• Linear regression models using finite mixtures of skew heavy-tailed distributions

  2019influential citation
• Comité Editorial

  2019cites this paper
• Robust Mixture Modeling Based on Two-Piece Scale Mixtures of Normal Family

  2019cites this paper
• Robust inference for skewed data in health sciences

  2019cites this paper
• Detection of Small Moving Targets in Videos Using Skew Normal Mixture Model

  2019cites this paper
• Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework

  2019cites this paper
• A Selective Overview and Comparison of Robust Mixture Regression Estimators

  2019influential citation
• Parameter Estimation Using the EM Algorithm for Symmetric Stable Random Variables and Sub-Gaussian Random Vectors

  2018cites this paper
• Mixture Regression Modeling Based on SMSN Distributions

  2018cites this paper
• Finite mixture of skewed distributions

  2018cites this paper
• Flexible regression modeling for censored data based on mixtures of student-t distributions

  2018cites this paper
• An extension of Birnbaum-Saunders distributions based on scale mixtures of skew-normal distributions with applications to regression models

  2018influential citation
• EM algorithm for symmetric stable mixture model

  2018cites this paper
• alphastable: An R Package for Modelling Multivariate Stable and Mixture of Symmetric Stable Distributions

  2018cites this paper
• Multivariate Mixture Modeling Using SMSN Distributions

  2018cites this paper
• Measurement Error Models for Replicated Data Under Asymmetric Heavy-Tailed Distributions

  2018cites this paper
• The Skew-Normal and Related Families

  2018cites this paper
• Cyclicality in Losses on Bank Loans

  2018cites this paper
• Analysis of the Duration–Hardness Ratio Plane of Gamma-Ray Bursts Using Skewed Distributions

  2018cites this paper
• Robust finite mixture modeling of multivariate unrestricted skew-normal generalized hyperbolic distributions

  2018cites this paper
• Finite mixture of regression models for censored data based on scale mixtures of normal distributions

  2018cites this paper
• Towards Age Determination of Southern King Crab (Lithodes santolla) Off Southern Chile Using Flexible Mixture Modeling

  2018influential citation
• Type II Censored Samples in Experimental Design Under Jones and Faddy’s Skew t Distribution

  2018cites this paper
• Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions

  2018cites this paper
• Bayesian variable selection in linear regression models with non-normal errors

  2018cites this paper
• A Bayesian Approach to Robust Skewed Autoregressive Processes

  2017cites this paper
• Finite mixture modeling of censored data using the multivariate Student-t distribution

  2017influential citation