On selecting the hyperparameters of the DPM models for the density estimation of observation errors.
Asma RabaouiNicolas ViandierJuliette MaraisEmmanuel DuflosPublished in: ICASSP (2011)
Keyphrases
- density estimation
- hyperparameters
- model selection
- bayesian framework
- mixture model
- probability density function
- probabilistic model
- em algorithm
- cross validation
- density estimates
- exponential family
- statistical models
- support vector
- machine learning
- closed form
- prior information
- parameter estimation
- expectation maximization
- data sets