# Field Dynamics Inference for Local and Causal Interactions

@article{Frank2019FieldDI,
title={Field Dynamics Inference for Local and Causal Interactions},
author={Philipp Frank and Reimar H. Leike and Torsten A. Ensslin},
journal={Annalen der Physik},
year={2019},
volume={533}
}
• Published 5 February 2019
• Computer Science
• Annalen der Physik
Inference of fields defined in space and time from observational data is a core discipline in many scientific areas. This work approaches the problem in a Bayesian framework. The proposed method is based on statistically homogeneous random fields defined in space and time and demonstrates how to reconstruct the field together with its prior correlation structure from data. The prior model of the correlation structure is described in a non‐parametric fashion and solely builds on fundamental…
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