Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering

3 May 2017Marco TodescatoAndrea CarronRuggero CarliGianluigi PillonettoLuca Schenato

In this work we study the non-parametric reconstruction of spatio-temporal dynamical Gaussian processes (GPs) via GP regression from sparse and noisy data. GPs have been mainly applied to spatial regression where they represent one of the most powerful estimation approaches also thanks to their universal representing properties... (read more)

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