Concept

Dirichlet process

Related publications (35)

Mixture models for multivariate extremes

This thesis is a contribution to multivariate extreme value statistics. The tail of a multivariate distribution function is characterized by its spectral distribution, for which we propose a new semi-parametric model based on mixtures of Dirichlet distribu ...

EPFL2004

Fast initialization of particle filters using a modified Metropolis-Hastings algorithm: Mode-hungry approach

Volkan Cevher

As a recursive algorithm, the particle filter requires initial samples to track a state vector. These initial samples must be generated from the received data and usually obey a complicated distribution. The Metropolis-Hastings (M-H) algorithm is used for ...

2004

Gaussian Processes for Machine Learning

Matthias Seeger

Gaussian processes (GPs) are natural generalisations of multivariate Gaussian random variables to infinite (countably or continuous) index sets. GPs have been applied in a large number of fields to a diverse range of ends, and very many deep theoretical an ...

World Scientific Publishing2004

Sur quelques inclusions différentielles de premier et de deuxième ordre

Gisella Croce

The principal subject of this thesis is the study of some Dirichlet problems related to differential inclusions of first and second order. We have studied the two following problems : where E ⊂ R2×2 is a compact isotropic set and where We show some existen ...

EPFL2004

Penalized Maximum Likelihood Estimation for Normal Mixture Distributions

Andrea Ridolfi

Mixture models form the essential basis of data clustering within a statistical framework. Here, the estimation of the parameters of a mixture of Gaussian densities is considered. In this particular context, it is well known that the maximum likelihood app ...

2003

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