Multivariate measurement error models with normal mean-variance mixture distributions
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Publication:6543995
DOI10.1002/STA4.503MaRDI QIDQ6543995
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Publication date: 27 May 2024
Published in: Stat (Search for Journal in Brave)
EM-type algorithmmeasurement error modelgeneralized hyperbolic distributionnormal mean-variance mixture distribution
Cites Work
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- Multivariate measurement error models using finite mixtures of skew-Student \(t\) distributions
- Statistical analysis with measurement error or misclassification. Strategy, method and application
- A robust multivariate measurement error model with skew-normal/independent distributions and Bayesian MCMC implementation
- Measurement error models with nonconstant covariance matrices
- Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution
- Lindley distribution and its application
- A robust Bayesian approach to null intercept measurement error model with application to dental data
- Estimating the dimension of a model
- On Bernoulli's numerical solution of algebraic equations.
- Clustering with the multivariate normal inverse Gaussian distribution
- A two-piece normal measurement error model
- Nonlinear regression models based on the normal mean-variance mixture of Birnbaum-Saunders distribution
- A novel mixture model using the multivariate normal mean-variance mixture of Birnbaum-Saunders distributions and its application to extrasolar planets
- Skew normal measurement error models
- Bayesian mismeasurementt-models for censored responses
- Elliptical structural models
- Bayesian measurement error models using finite mixtures of scale mixtures of skew-normal distributions
- The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
- Bayesian Analysis of Errors-in-Variables Regression Models
- Multivariate measurement error models based on Student-t distribution under censored responses
- A Test for Normality of Observations and Regression Residuals
- Improved estimation in elliptical linear mixed measurement error models
- Evaluating Risk Measures Using the Normal Mean-Variance Birnbaum-Saunders Distribution
- Multivariate normal mean-variance mixture distribution based on Lindley distribution
- A mixture of generalized hyperbolic distributions
- Multivariate measurement error models based on scale mixtures of the skew–normal distribution
- Skew binary regression with measurement errors
- A new family of life distributions
- THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS
- A skew factor analysis model based on the normal mean–variance mixture of Birnbaum–Saunders distribution
- An overview of normal theory structural measurement error models
- Linear mixed effects models for non-Gaussian continuous repeated measurement data
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