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Found 3 papers, 2 papers with code
On the relation between Gaussian process quadratures and sigma-point methods
This article is concerned with Gaussian process quadratures, which are numerical integration methods based on Gaussian process regression methods, and sigma-point methods, which are used in advanced non-linear Kalman filtering and smoothing algorithms.
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox
The prior over functions is defined implicitly by the mean and covariance function, which determine the smoothness and variability of the function.
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components.
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