Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors.
Ruth M. PfeifferDaniel B. KaplaEfstathia BuraPublished in: Int. J. Data Sci. Anal. (2021)
Keyphrases
- maximum likelihood estimation
- least squares
- matrix valued
- parameter estimation
- linear model
- dt mri
- valued data
- vector valued
- maximum likelihood
- em algorithm
- probability distribution
- expectation maximization
- probability density
- structure tensor
- optical flow
- filter bank
- density function
- augmented lagrangian
- mri data
- scale space
- image sequences