The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes].
Mohamed Rasheed-Hilmy AbdalmoatyHåkan HjalmarssonBo WahlbergPublished in: IEEE Signal Process. Mag. (2020)
Keyphrases
- maximum likelihood estimator
- weighted least squares
- lecture notes
- maximum likelihood
- computer science
- least squares
- revised selected papers
- missing data
- conjugate gradient
- error function
- parameter estimation
- gaussian distribution
- maximum likelihood estimation
- lecture notes in artificial intelligence
- gaussian mixture model
- generalization error
- variational bayes
- em algorithm
- motion parameters
- expectation maximization
- artificial intelligence
- maximum a posteriori
- model selection