Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers (Q1658183)

scientific article; zbMATH DE number 6917626

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English	Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers	scientific article; zbMATH DE number 6917626

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instance of

scholarly article

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title

Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers (English)

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Computational Statistics and Data Analysis

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publication date

14 August 2018

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full work available at URL

https://eprints.soton.ac.uk/396818/2/manuscript.pdf

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zbMATH Keywords

hidden Markov models

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robust regression

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multivariate contaminated Gaussian distribution

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ECM algorithm

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describes a project that uses

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Non-homogeneous hidden Markov-switching models for wind time series

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On the Spectral Decomposition in Normal Discriminant Analysis

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Finite mixtures of unimodal beta and gamma densities and the \(k\)-bumps algorithm

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Mixture of linear mixed models using multivariate<i>t</i>distribution

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Robust fitting of mixture regression models

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A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure

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A discrete time event‐history approach to informative drop‐out in mixed latent Markov models with covariates

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Latent Markov models for longitudinal data

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A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains

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Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models

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A mixture of generalized hyperbolic distributions

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An Application of the Laplace Method to Finite Mixture Distributions

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Q4139463

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Quantile regression for longitudinal data based on latent Markov subject-specific parameters

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S-estimation of hidden Markov models

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Finite mixture and Markov switching models.

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Panel data analysis: a survey on model-based clustering of time series

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A review of robust clustering methods

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Robust clusterwise linear regression through trimming

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A Markov model for switching regressions

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Assessing the pattern of covariance matrices via an augmentation multiple testing procedure

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Closed Likelihood Ratio Testing Procedures to Assess Similarity of Covariance Matrices

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Q3514734

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Analysis of time series subject to changes in regime

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The dip test of unimodality

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Identifiability of models for clusterwise linear regression

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Identifiability of Finite Mixtures of Elliptical Distributions

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Model-based clustering via linear cluster-weighted models

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Decision boundaries for mixtures of regressions

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The generalized linear mixed cluster-weighted model

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Model-Based Clustering of Non-Gaussian Panel Data Based on Skew-<i>t</i>Distributions

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Maximum likelihood estimation of mark-recapture-recovery models in the presence of continuous covariates

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Model-based clustering and classification with non-normal mixture distributions

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Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results

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Maximum-likelihood estimation for hidden Markov models

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Maximum likelihood estimation for multivariate skew normal mixture models

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Robust Estimation of the Mean and Covariance Matrix from Data with Missing Values

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Flexible mixture modeling via the multivariate \(t\) distribution with the Box-Cox transformation: an alternative to the skew-\(t\) distribution

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Numerical Maximisation of Likelihood: A Neglected Alternative to EM?

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Mixed hidden Markov models for longitudinal data: an overview

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Robust fitting of hidden Markov regression models under a longitudinal setting

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Q4863621

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Finite mixture models

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Maximum likelihood estimation via the ECM algorithm: A general framework

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Flexible mixture modelling with the polynomial Gaussian cluster-weighted model

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Hypothesis Testing for Mixture Model Selection

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Clustering bivariate mixed-type data via the cluster-weighted model

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Parsimonious mixtures of multivariate contaminated normal distributions

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Multivariate longitudinal data analysis with mixed effects hidden Markov models

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Q5173020

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Skewness and mixtures of normal distributions

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Estimating the dimension of a model

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Clustering and classification via cluster-weighted factor analyzers

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Cluster-weighted \(t\)-factor analyzers for robust model-based clustering and dimension reduction

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Statistical analysis of finite mixture distributions

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Direct maximization of the likelihood of a hidden Markov model

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Seven things to remember about hidden Markov models: A tutorial on Markovian models for time series

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Error bounds for convolutional codes and an asymptotically optimum decoding algorithm

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Multivariate \(t\) linear mixed models for irregularly observed multiple repeated measures with missing outcomes

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Manly transformation in finite mixture modeling

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Hidden Markov Models for Time Series

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Identifiers

zbMATH Open document ID

1464.62128

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Mathematics Subject Classification ID

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10.1016/J.CSDA.2016.05.024

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Sitelinks

Mathematics(1 entry)

mardi Publication:1658183