A Bayesian approach on the two-piece scale mixtures of normal homoscedastic nonlinear regression models

DOI10.1080/02664763.2020.1854203OpenAlexW3110245106MaRDI QIDQ5073398

Zahra Khodadadi, Darren Wraith, Zahra Barkhordar, Mohsen Maleki, Farajollah Negahdari

Publication date: 6 May 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1854203

zbMATH Keywords

MCMC methodGibbs samplingtwo-piece distributionsnonlinear regression modelscale mixtures of normal family

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (3)

SKEWED AUTO-REGRESSIVE PROCESS WITH EXOGENOUS INPUT VARIABLES: AN APPLICATION IN THE ADMINISTERED VACCINE DOSES ON COVID-19 SPREAD ⋮ Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates ⋮ Robust mixture regression modeling based on two-piece scale mixtures of normal distributions

Uses Software

• R

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