VIF approximations combine inducing points and Vecchia methods with an efficient neighbor search to deliver computationally efficient, accurate, and stable Gaussian process inference on large data.
A stochastic estimator of the trace of the influence matrix for L aplacian smoothing splines
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Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes
VIF approximations combine inducing points and Vecchia methods with an efficient neighbor search to deliver computationally efficient, accurate, and stable Gaussian process inference on large data.