StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables.
Sacha MorinRobin LegaultZsuzsa BakkCharles-Édouard GiguèreRoxane de la SablonnièreÉric LacoursePublished in: CoRR (2023)
Keyphrases
- mixture model
- density estimation
- pseudo likelihood
- em algorithm
- markov networks
- probabilistic model
- gaussian mixture model
- log likelihood
- maximum likelihood
- bayes nets
- random fields
- probabilistic graphical models
- generative model
- expectation maximization
- hidden variables
- parameter estimation
- markov blanket
- language model
- unsupervised learning
- graphical models
- variable selection
- maximum likelihood estimation
- probability density function
- conditional probabilities
- model selection
- conditional random fields
- bayesian networks
- density function
- machine learning
- random variables
- active learning