On polychoric and polyserial partial correlation coefficients: a Bayesian approach

DOI10.1007/s40300-013-0012-1zbMath1302.60105OpenAlexW2010475540MaRDI QIDQ478483

Hikaru Hasegawa

Publication date: 3 December 2014

Published in: Metron (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2115/53020

zbMATH Keywords

Gibbs samplerMarkov chain Monte Carlo (MCMC)Metropolis-Hastings (M-H) algorithmwell-being

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (1)

Multidimensional inequality for current status of Japanese private companies' employees

Uses Software

• Ox

Cites Work

• Unnamed Item
• Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients
• Inference from iterative simulation using multiple sequences
• Simulation Run Length Control in the Presence of an Initial Transient
• Fitting and comparison of models for multivariate ordinal outcomes
• Analysis of multivariate probit models
• Bayesian Analysis for the Social Sciences

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