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Strictly and non-strictly positive definite functions on spheres
30 November 2011
T. Gneiting
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Papers citing
"Strictly and non-strictly positive definite functions on spheres"
50 / 61 papers shown
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Gaussian kernels on non-simply-connected closed Riemannian manifolds are never positive definite
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Strictly positive definite kernels on compact Riemannian manifolds
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Cox processes driven by transformed Gaussian processes on linear networks -- A review and new contributions
Scandinavian Journal of Statistics (Scand. J. Stat.), 2022
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Asymptotics for isotropic Hilbert-valued spherical random fields
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Optimization on Manifolds via Graph Gaussian Processes
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The Circular Matern Covariance Function and its Link to Markov Random Fields on the Circle
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Israel Martínez-Hernádez
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Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions
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A. Bhadra
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A Fine-Grained Spectral Perspective on Neural Networks
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Hadi Salman
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Asymptotics for Spherical Functional Autoregressions
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Domenico Marinucci
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rcosmo: R Package for Analysis of Spherical, HEALPix and Cosmological Data
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Non-Gaussian Geostatistical Modeling using (skew) t Processes
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A Riemann-Stein Kernel Method
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Christine J. Oates
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Bayesian quadrature and energy minimization for space-filling design
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Fast and exact simulation of isotropic Gaussian random fields on
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\mathbb{S}^{2}
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and
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\mathbb{S}^{2}\times \mathbb{R}
S
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×
R
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D. Allard
190
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Towards a Complete Picture of Stationary Covariance Functions on Spheres Cross Time
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Emilio Porcu
156
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Schoenberg coefficients and curvature at the origin of continuous isotropic positive definite kernels on spheres
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Neural Tangent Kernel: Convergence and Generalization in Neural Networks
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Log Gaussian Cox processes on the sphere
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Strictly proper kernel scores and characteristic kernels on compact spaces
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J. Ziegel
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Isotropic covariance functions on graphs and their edges
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