A general framework for maximizing likelihood under incomplete data
type: Item
instance of: scholarly article
title: A general framework for maximizing likelihood under incomplete data
zbMATH Open document ID: 1452.68205
author: Inés Couso
author: Didier Dubois
published in: International Journal of Approximate Reasoning
publication date: 2019-02-20T00:00:00Z
full work available at URL: couso 22226.pdf
Mathematics Subject Classification ID: 68T37
Mathematics Subject Classification ID: 62F86
zbMATH DE Number: 7025954
zbMATH Keywords: random sets
zbMATH Keywords: maximum likelihood
zbMATH Keywords: incomplete information
zbMATH Keywords: entropy
MaRDI profile type: Publication
OpenAlex ID: W2767360138
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DOI: 10.1016/J.IJAR.2017.10.030
description: scientific article; zbMATH DE number 7025954