Nearly mutually orthogonal processes use a tunable penalty to approximate mutual orthogonality of factor loadings in functional factor analysis, enabling efficient Bayesian inference on longitudinal data.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2022 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Bayesian modeling of nearly mutually orthogonal processes
Nearly mutually orthogonal processes use a tunable penalty to approximate mutual orthogonality of factor loadings in functional factor analysis, enabling efficient Bayesian inference on longitudinal data.