Synthia: multidimensional synthetic data generation in Python
David E. Meyer, Thomas Nagler
Abstract
. As such, copula-based data generation models -probabilistic models that allow for the statistical properties of observed data to be modelled in terms of individual behavior and (inter-)dependencies (Joe, 2014) -have shown potential in several applications such as finance, data science, and meteorology (Kamthe et al.,
Topics & Concepts
Python (programming language)Computer scienceProgramming languageComputational Physics and Python ApplicationsScientific Research and DiscoveriesGamma-ray bursts and supernovae