Search Results for author:
Found 3 papers, 1 papers with code
Shape Modeling with Spline Partitions
In this work, we focus on Bayesian nonparametric methods for capturing shapes by partitioning a space using curves.
Scalable imputation of genetic data with a discrete fragmentation-coagulation process
We present a Bayesian nonparametric model for genetic sequence data in which a set of genetic sequences is modelled using a Markov model of partitions.
Modelling Genetic Variations using Fragmentation-Coagulation Processes
We propose a novel class of Bayesian nonparametric models for sequential data called fragmentation-coagulation processes (FCPs).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
