Specification of the Base Measure of Nonparametric Priors via Random Means

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Empirical decision procedures; empirical Bayes procedures (62C12)

Cites Work

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Characteristic functions of means of distributions chosen from a Dirichlet process
Distribution functions of means of a Dirichlet process
Distributional properties of means of random probability measures
A simple procedure calculating the generalized Stieltjes transform of the mean of a Dirichlet process
The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
Distributional results for means of normalized random measures with independent increments
On the Markov-Krein identity and quasi-invariance of the gamma process
The Markov-Krein correspondence in several dimensions
Theory and numerical analysis for exact distributions of functionals of a Dirichlet process
Means of a Dirichlet process and multiple hypergeometric functions.
Explicit formulas for hook walks on continual Young diagrams
Normalized random measures driven by increasing additive processes
Distributions of linear functionals of two parameter Poisson-Dirichlet random measures
The generalized Stieltjes transform and its inverse
Generalized Stieltjes functions and their exact order
Linear functionals and Markov chains associated with Dirichlet processes
Considerazioni generali sull’impostazione bayesiana di problemi non parametrici
HYPERSINGULAR INTEGRALS: HOW SMOOTH MUST THE DENSITY BE?
Uniform Convergence Results for Cauchy Principal Value Integrals
Marginally Specified Priors for Non-Parametric Bayesian Estimation
An inversion formula for the generalized Stieltjes transform

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