Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm
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Publication:1616785
DOI10.1007/s11222-017-9782-2zbMath1406.62059OpenAlexW2765375023MaRDI QIDQ1616785
Publication date: 7 November 2018
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-017-9782-2
rankingcount datadensity estimationcontingency tablePlackett-Luce modelBradley-Terry modelrandom partitionincomplete multinomial modelweaver algorithm
Density estimation (62G07) Numerical optimization and variational techniques (65K10) Contingency tables (62H17) Statistical ranking and selection procedures (62F07)
Related Items (3)
Estimating the number of clusters in a ranking data context ⋮ A study of data-driven distributionally robust optimization with incomplete joint data under finite support ⋮ An evaluation of methods to handle missing data in the context of latent variable interaction analysis: multiple imputation, maximum likelihood, and random forest algorithm
Uses Software
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