Bayesian inference for joint location and scale nonlinear models with skew-normal errors
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Publication:2965598
DOI10.1080/03610918.2014.977913zbMath1357.62138OpenAlexW1965245623MaRDI QIDQ2965598
Publication date: 3 March 2017
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2014.977913
Bayesian analysisGibbs samplerMetropolis-Hastings algorithmskew-normal distributionjoint location and scale nonlinear models
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Cites Work
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- A nonlinear regression model with skew-normal errors
- Simultaneous variable selection for heteroscedastic regression models
- Bayesian inference in joint modelling of location and scale parameters of the \(t\) distribution for longitudinal data
- Variable selection for joint mean and dispersion models of the inverse Gaussian distribution
- Heteroscedasticity diagnostics for \(t\) linear regression models
- Diagnostics for skew-normal nonlinear regression models with AR(1) errors
- Homogeneity diagnostics for skew-normal nonlinear regression models
- Bayesian analysis of semiparametric reproductive dispersion mixed-effects models
- Practical Markov Chain Monte Carlo
- Statistical Diagnostics for Skew-t-Normal Nonlinear Models
- Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
- Variable Selection in Joint Location and Scale Models of the Skew-t-Normal Distribution
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