An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data
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DOI: 10.1007/s11222-025-10575-0
Abstract: Matrix-variate distributions are powerful tools for modeling three-way datasets that often arise in longitudinal and multidimensional spatio-temporal studies. However, observations in these datasets can be missing or subject to some detection limits because of the… read more here.
Keywords: censored missing; matrix variate; variate normal; missing data ... See more keywords