2002Journal of Applied ProbabilityRequires access

A family of densities derived from the three-parameter Dirichlet process

Matthew A. Carlton

Open publisher page 4 citations

Abstract

The traditional Dirichlet process is characterized by its distribution on a measurable partition of the state space - namely, the Dirichlet distribution. In this paper, we consider a generalization of the Dirichlet process and the family of multivariate distributions it induces, with particular attention to a special case where the multivariate density function is tractable.

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What this paper is about

The traditional Dirichlet process is characterized by its distribution on a measurable partition of the state space - namely, the Dirichlet distribution. In this paper, we consider a generalization of the Dirichlet process and the family of multivariate distributions it induces, with particular attention to a special case where the multivariate density function is tractable.

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Available abstract

The traditional Dirichlet process is characterized by its distribution on a measurable partition of the state space - namely, the Dirichlet distribution. In this paper, we consider a generalization of the Dirichlet process and the family of multivariate distributions it induces, with particular attention to a special case where the multivariate density function is tractable.

Key concepts: Mathematics, Concentration parameter, Dirichlet distribution, Generalized Dirichlet distribution, Dirichlet process, Hierarchical Dirichlet process, Multivariate statistics, Generalization

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