1 citations · 1 across the 7 of their papers we have counts for
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Generalized Bayesian Clustering with Regression for Unaligned Longitudinal Binary Data
Khai Nguyen, Elizabeth Juarez-Colunga, Peter Mueller
We propose a generalized Bayesian clustering with regression model for unaligned longitudinal binary outcomes, motivated by seizure diary data from the Human Epilepsy Project. Seiz…
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…
Graph-Aligned Random Partition Model (GARP)
Giovanni Rebaudo, Peter Mueller
Bayesian nonparametric mixtures and random partition models are powerful tools for probabilistic clustering. However, standard independent mixture models can be restrictive in some…