Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector
type: Item
instance of: scholarly article
title: Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector
zbMATH Open document ID: 1409.62209
author: Vincent Charles
author: Ioannis E. Tsolas
author: Tatiana Gherman
published in: Annals of Operations Research
publication date: 2019-03-06T00:00:00Z
full work available at URL: http://hdl.handle.net/10454/17537
Mathematics Subject Classification ID: 62P05
Mathematics Subject Classification ID: 62C10
Mathematics Subject Classification ID: 90B50
zbMATH DE Number: 7032527
zbMATH Keywords: data envelopment analysis
zbMATH Keywords: satisficing DEA
zbMATH Keywords: mathematical programming
zbMATH Keywords: banking
zbMATH Keywords: peer mining
zbMATH Keywords: Bayesian predictive analytics
MaRDI profile type: Publication
OpenAlex ID: W2626055069
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DOI: 10.1007/S10479-017-2552-X
description: scientific article; zbMATH DE number 7032527