Random survival forests models for SME credit risk measurement
type: Item
instance of: scholarly article
title: Random survival forests models for SME credit risk measurement
zbMATH Open document ID: 1293.62223
author: Dean Fantazzini
author: Silvia Figini
published in: Methodology and Computing in Applied Probability
publication date: 2014-08-15T00:00:00Z
Mathematics Subject Classification ID: 62P05
Mathematics Subject Classification ID: 62N01
Mathematics Subject Classification ID: 91G40
zbMATH DE Number: 6330966
zbMATH Keywords: random survival trees
zbMATH Keywords: credit risk
zbMATH Keywords: default probability
zbMATH Keywords: loss functions
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
full work available at URL: s11009-008-9078-2
OpenAlex ID: W3124440722
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DOI: 10.1007/S11009-008-9078-2
description: scientific article; zbMATH DE number 6330966