4 citations · 4 across the 3 of their papers we have counts for
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…
stat.ME2014★ 4 cited
Metropolis-type algorithms for Continuous Time Bayesian Networks
Blazej Miasojedow, Wojciech Niemiro, John Noble +1
We present a Metropolis-Hastings Markov chain Monte Carlo (MCMC) algorithm for detecting hidden variables in a continuous time Bayesian network (CTBN), which uses reversible jumps…