Filippo Ascolani, Antonio Lijoi and Igor Prünster’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu

Author:

Ascolani Filippo1ORCID,Lijoi Antonio12ORCID,Prünster Igor12ORCID

Affiliation:

1. Department of Statistical Science, Duke University , Durham, NC , USA

2. Bocconi Institute for Data Science and Analytics, Bocconi University , Milan , Italy

Publisher

Oxford University Press (OUP)

Reference7 articles.

1. Distribution theory for hierarchical processes;Camerlenghi;Annals of Statistics,2019

2. Bayesian nonparametric inference beyond the Gibbs-type framework;Camerlenghi;Scandinavian Journal of Statistics,2018

3. Are Gibbs-type priors the most natural generalization of the Dirichlet process?;De Blasi;IEEE Transactions on Pattern Analysis and Machine Intelligence,2015

4. A Bayesian analysis of some nonparametric problems;Ferguson;Annals of Statistics,1973

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