Rectangular Latent Markov Models for Time-Specific Clustering, with An Analysis of the Wellbeing of Nations. Issue 3 (3rd October 2018)

• Record Type: Journal Article
• Authors: Anderson, Gordon; Farcomeni, Alessio; Pittau, Maria Grazia; Zelli, Roberto
• Is Part Of: Journal of the Royal Statistical Society. Volume 68:Issue 3(2019)
• Page Start: 603
• Page End: 621
• Publication Date: 2018-10-03
• Subjects: Group merging -- Group splitting -- Human development index -- Latent transitions; Statistics -- Periodicals; 519.5
• DOI: 10.1111/rssc.12312
• Languages: English
• ISSNs: 0035-9254

Abstract

Summary: A latent Markov model admitting variation in the number of latent states at each time period is introduced. The model facilitates subjects switching latent states at each time period according to an inhomogeneous first-order Markov process, wherein transition matrices are generally rectangular. As a consequence, latent groups can merge, split or be rearranged. An application analysing the progress of wellbeing of nations, as measured by the three dimensions of the human development index over the last 25 years, illustrates the approach.