MPRS method

Version 1.0.1 (5.41 KB) by Milan Zukovic
Modified planar rotator interpolation method (MPRS) for D-dimensional data (D = 1, 2 or 3) in time or space.
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Updated 30 Sep 2025

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MPRS is physically inspired machine learning method for spatial/temporal regression. MPRS is a non-parametric model which incorporates spatial or temporal correlations via short-range, distance-dependent "interactions" without assuming a specific form for the underlying probability distribution. Predictions are obtained by means of a fully autonomous learning algorithm which employs equilibrium conditional Monte Carlo simulations. MPRS is able to handle scattered data and arbitrary spatial dimensions.

Cite As

Milan Zukovic (2025). MPRS method (https://www.mathworks.com/matlabcentral/fileexchange/135757-mprs-method), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Acknowledgements

Inspired by: Modified planar rotator (MPR) method, Movingslope

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Version Published Release Notes
1.0.1

Uploaded auxiliary function movingslope.m
1.0.0