Vine Copula Based Data Generation for Machine Learning With an Application to Industrial ProcessesDownload PDF

03 Oct 2022 (modified: 05 May 2023)Neurips 2022 SyntheticData4MLReaders: Everyone
Keywords: Synthetic Data, Vine Copulas, Industry 4.0
TL;DR: We use knowledge from experts and data to make Vine Copulas that will generate synthetic data in a data poor environment
Abstract: Synthetic data generation of industrial processes exhibiting non-stationarity and complex, non-linear dependencies between their inputs and outputs is a challenging task. We argue that vine copula models are particularly well suited for this problem and present a method combining limited available data and expert knowledge in order to generate synthetic data by conditionally sampling from a C-Vine, a type of vine copula. We demonstrate our approach by generating synthetic data for a high speed, sophisticated lumber finishing machine called a wood planer.
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