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02/19/2023
Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator
Gaussian processes provide a flexible, non-parametric framework for the ...
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01/07/2022
Spatial data modeling by means of Gibbs Markov random fields based on a generalized planar rotator model
We introduce a Gibbs Markov random field for spatial data on Cartesian g...
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09/21/2021
Non-parametric Kernel-Based Estimation of Probability Distributions for Precipitation Modeling
The probability distribution of precipitation amount strongly depends on...
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11/25/2020
The k-statistics approach to epidemiology
A great variety of complex physical, natural and artificial systems are ...
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01/07/2020
Stochastic Local Interaction Model: Geostatistics without Kriging
Classical geostatistical methods face serious computational challenges i...
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02/20/2019
Stochastic Local Interaction Model with Sparse Precision Matrix for Space-Time Interpolation
The application of geostatistical and machine learning methods based on ...
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01/16/2015
