3 papers
stat.OT2019
A score function for Bayesian cluster analysis
John Noble, Łukasz Rajkowski
We propose a score function for Bayesian clustering. The function is parameter free and captures the interplay between the within cluster variance and the between cluster entropy o…
math.ST2019
A note on the geometry of the MAP partition in Conjugate Exponential Bayesian Mixture Models
Łukasz Rajkowski, John Noble
We investigate the geometry of the maximal a posteriori (MAP) partition in the Bayesian Mixture Model where the component and the base distributions are chosen from conjugate expon…
math.ST2016
Analysis of the maximal posterior partition in the Dirichlet Process Gaussian Mixture Model
Łukasz Rajkowski
Mixture models are a natural choice in many applications, but it can be difficult to place an a priori upper bound on the number of components. To circumvent this, investigators ar…