A likelihood-based boosting algorithm for factor analysis models with binary data-Reference-Cited by-同舟云学术

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A likelihood-based boosting algorithm for factor analysis models with binary data

Published:2022-04 Issue: Volume:168 Page:107412
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Battauz Michela^ORCID,Vidoni Paolo

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference37 articles.

1. Latent Variable Models and Factor Analysis: a Unified Approach;Bartholomew,2011

2. Regularized estimation of the nominal response model;Battauz;Multivar. Behav. Res.,2020

3. MCMC estimation and some model-fit analysis of multidimensional IRT models;Béguin;Psychometrika,2001

4. Marginal maximum likelihood estimation of item parameters: application of an EM algorithm;Bock;Psychometrika,1981

5. Sparse boosting;Bühlmann;J. Mach. Learn. Res.,2006

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