4 papers
Distributional Determinantal Point Process for Repulsive Clustering of Distributions
Khai Nguyen, Yang Ni, Elizabeth Juarez-Colunga +1
We introduce the distributional determinantal point process (dDPP) as a novel repulsive point process whose atoms are probability distributions rather than points in a real space.…
Bayesian Nonparametrics: Principles and Practice
Nils Lid Hjort, Chris Holmes, Peter Mueller +1
This extended preface [to the Book `Bayesian Nonparametrics', Cambridge University Press, 2010, by NL Hjort, CC Holmes, P Mueller, SG Walker] is meant to explain why you are right…
A Mixed Self-Exciting Process to Model Epileptic Seizures
Karen Kanaster, Giovani L. Silva, Peter Mueller +2
Epilepsy is a neurological disorder characterized by recurrent seizures affecting more than 70 million people worldwide. Often, an individual with epilepsy is more likely to experi…
Vertical Consensus Inference for High-Dimensional Random Partition
Khai Nguyen, Yang Ni, Peter Mueller
We review recently proposed Bayesian approaches for clustering high-dimensional data. After identifying the main limitations of available approaches, we introduce an alternative fr…