Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm
type: Item
instance of: scholarly article
title: Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm
zbMATH Open document ID: 1406.62059
author: Fanghu Dong
author: Guosheng Yin
published in: Statistics and Computing
publication date: 2018-11-07T00:00:00Z
Mathematics Subject Classification ID: 62H17
Mathematics Subject Classification ID: 62F07
Mathematics Subject Classification ID: 65K10
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 6974489
zbMATH Keywords: Bradley-Terry model
zbMATH Keywords: contingency table
zbMATH Keywords: count data
zbMATH Keywords: density estimation
zbMATH Keywords: incomplete multinomial model
zbMATH Keywords: Plackett-Luce model
zbMATH Keywords: random partition
zbMATH Keywords: ranking
zbMATH Keywords: weaver algorithm
describes a project that uses: fminsearch
describes a project that uses: hyperdirichlet
describes a project that uses: Matlab
describes a project that uses: CUDA
MaRDI profile type: Publication
full work available at URL: s11222-017-9782-2
OpenAlex ID: W2765375023
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DOI: 10.1007/S11222-017-9782-2
description: scientific article; zbMATH DE number 6974489