On parameter estimation for Amoroso family of distributions.
Catherine CombesHon Keung Tony NgPublished in: Math. Comput. Simul. (2022)
Keyphrases
- parameter estimation
- maximum likelihood
- model selection
- em algorithm
- statistical models
- least squares
- markov random field
- metropolis hastings algorithm
- posterior distribution
- parameter values
- random fields
- parameter estimation algorithm
- approximate inference
- probability distribution
- maximum likelihood estimates
- estimation problems
- expectation maximization
- model fitting
- maximum likelihood estimation
- parameters estimation
- machine learning
- random variables
- special case
- structure learning
- parameter estimates
- gaussian distribution
- maximum a posteriori
- covariance matrices
- exponential family
- position estimation
- video sequences
- data mining
- joint distribution
- markov chain monte carlo
- sample size