4 papers · 1 filter
Hierarchical shot-noise Cox process mixtures for clustering across groups
Alessandro Carminati, Mario Beraha, Federico Camerlenghi +1
Clustering observations across partially exchangeable groups of data is a routine task in Bayesian nonparametrics. Previously proposed models allow for clustering across groups by…
Large-scale entity resolution via microclustering Ewens--Pitman random partitions
Mario Beraha, Stefano Favaro
We introduce the microclustering Ewens--Pitman model for random partitions, obtained by scaling the strength parameter of the Ewens--Pitman model linearly with the sample size. The…
Sufficient digits and density estimation: A Bayesian nonparametric approach using generalized finite Pólya trees
Mario Beraha, Jesper Møller
This paper proposes a novel approach for statistical modelling of a continuous random variable on , based on its digit representation . In general, …
Online activity prediction via generalized Indian buffet process models
Mario Beraha, Lorenzo Masoero, Stefano Favaro +1
Online A/B tests are the standard tool for data-driven decision-making at scale. Among the design choices with the largest impact on statistical power is the triggering mechanism:…