A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure.
Michael LevineGildas MazoPublished in: Comput. Stat. (2024)
Keyphrases
- semi parametric
- dependence structure
- density estimation
- parametric models
- statistical inference
- regression model
- least squares
- constrained optimization
- mixture model
- maximum likelihood
- markov networks
- marginal distributions
- em algorithm
- bayesian inference
- linear model
- posterior probability
- learning algorithm
- unsupervised learning
- model selection
- expectation maximization
- pairwise