We would like to congratulate the authors on a well written article containing innovative ideas and a compelling application. The authors propose to incorporate subjective prior information on the clustering structure by defining a centred partition process. The proposed family of processes combines well known priors for partitions (specifically exchangeable partition probability functions, EPPFs) with a measure of discrepancy from an initial partition c_0, summarizing prior belief.

Contributed Discussion: Centered Partition Processes: Informative Priors for Clustering

Antoniano-Villalobos, Isadora
;
2021

Abstract

We would like to congratulate the authors on a well written article containing innovative ideas and a compelling application. The authors propose to incorporate subjective prior information on the clustering structure by defining a centred partition process. The proposed family of processes combines well known priors for partitions (specifically exchangeable partition probability functions, EPPFs) with a measure of discrepancy from an initial partition c_0, summarizing prior belief.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10278/5004037
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