Topological data assimilation using Wasserstein distance
Sign Up to like & getrecommendations! Published in 2018 at "Inverse Problems"
DOI: 10.1088/1361-6420/aae993
Abstract: This work combines a level-set approach and the optimal transport-based Wasserstein distance in a data assimilation framework. The primary motivation of this work is to reduce assimilation artifacts resulting from the position and observation error… read more here.
Keywords: using wasserstein; topological data; distance; data assimilation ... See more keywords
Parameter estimation for biochemical reaction networks using Wasserstein distances
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Physics A: Mathematical and Theoretical"
DOI: 10.1088/1751-8121/ab5877
Abstract: We present a method for estimating parameters in stochastic models of biochemical reaction networks by fitting steady-state distributions using Wasserstein distances. We simulate a reaction network at different parameter settings and train a Gaussian process… read more here.
Keywords: reaction networks; reaction; biochemical reaction; parameter estimation ... See more keywords