On outliers detection and prior distribution sensitivity in standard skew-probit regression models
type: Item
instance of: scholarly article
title: On outliers detection and prior distribution sensitivity in standard skew-probit regression models
zbMATH Open document ID: 1496.62126
DOI: 10.1214/22-BJPS534
author: Fabiano R. Coelho
author: Cibele M. Russo
author: Jorge L. Bazán
published in: Brazilian Journal of Probability and Statistics
publication date: 2022-10-10T00:00:00Z
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 7599098
zbMATH Keywords: HMC estimation method
zbMATH Keywords: outliers detection
zbMATH Keywords: skew-probit regression models
zbMATH Keywords: unbalanced binary data
describes a project that uses: BayesDA
describes a project that uses: RStan
describes a project that uses: UCI-ml
describes a project that uses: NUTS
describes a project that uses: Stan
describes a project that uses: rstan
MaRDI profile type: Publication
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full work available at URL: 22-bjps534
OpenAlex ID: W4297337090
description: scientific article; zbMATH DE number 7599098