Credibility using semiparametric models and a loss function with a constancy penalty
type: Item
instance of: scholarly article
title: Credibility using semiparametric models and a loss function with a constancy penalty
zbMATH Open document ID: 1103.91378
DOI: 10.1016/S0167-6687(99)00048-7
author: Virginia R. Young
published in: Insurance Mathematics \& Economics
publication date: 2000-01-01T00:00:00Z
Mathematics Subject Classification ID: 91B30
Mathematics Subject Classification ID: 62P05
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 1525138
zbMATH Keywords: Kernel density estimation
zbMATH Keywords: Claim estimation
zbMATH Keywords: Bayesian estimation
MaRDI profile type: Publication
cites work: Q5609896
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cites work: Q4628606
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cites work: Approximation Theorems of Mathematical Statistics
cites work: Q4727203
cites work: Credibility Using a Loss Function from Spline Theory
cites work: Robust Bayesian Credibility Using Semiparametric Models
cites work: Credibility in Favor of Unlucky Insureds
description: scientific article; zbMATH DE number 1525138