Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors.
Ruth M. PfeifferWei WangEfstathia BuraPublished in: DSAA (2019)
Keyphrases
- maximum likelihood estimation
- least squares
- matrix valued
- parameter estimation
- linear model
- dt mri
- valued data
- vector valued
- em algorithm
- maximum likelihood
- expectation maximization
- probability distribution
- augmented lagrangian
- optical flow
- density function
- probability density
- diffusion tensor
- filter bank
- image processing
- mri data
- numerical solution