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Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process?
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Pierpaolo De Blasi,Stefano Favaro,Antonio Lijoi,Ramses H. Mena,Igor Prunster,Matteo Ruggiero
Issue Date:November 2013
pp. 1
Discrete random probability measures and the exchangeable random partitions they induce are key tools for addressing a variety of estimation and prediction problems in Bayesian inference. Here we focus on the family of Gibbs-type priors, a recent elegant g...
 
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