Gneiting Class, Semi-Metric Spaces and Isometric Embeddings
From MaRDI portal
Publication:4971552
DOI10.33205/cma.712049zbMath1463.42016OpenAlexW3024719633MaRDI QIDQ4971552
Emilio Porcu, Valdir A. Menegatto, Claudemir P. Oliveira
Publication date: 12 October 2020
Published in: Constructive Mathematical Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.33205/cma.712049
Positive definite functions in one variable harmonic analysis (42A82) Positive definite functions on groups, semigroups, etc. (43A35)
Related Items
On Gaussian kernels on Hilbert spaces and kernels on hyperbolic spaces ⋮ Matrix valued positive definite kernels related to the generalized Aitken's integral for Gaussians ⋮ Nested covariance functions on graphs with Euclidean edges cross time ⋮ Characterization theorems for pseudo cross-variograms ⋮ Space-time covariance models on networks ⋮ A Gneiting-like method for constructing positive definite functions on metric spaces ⋮ Positive definiteness on products via generalized Stieltjes and other functions ⋮ Gneiting's space-time positive definiteness criterion revisited
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- From Schoenberg coefficients to Schoenberg functions
- Some covariance models based on normal scale mixtures
- Characterization theorems for the Gneiting class of space-time covariances
- Quasi-arithmetic means of covariance functions with potential applications to space-time data
- Schoenberg's theorem for positive definite functions on products: a unifying framework
- Towards a complete picture of stationary covariance functions on spheres cross time
- A panorama of positivity. I: Dimension free
- Positive definite functions on spheres
- Nonseparable, Stationary Covariance Functions for Space–Time Data
- Strictly positive definite kernels on the hilbert sphere
- Positive definite functions on products of metric spaces via generalized Stieltjes functions
- Cross-covariance functions for multivariate random fields based on latent dimensions
- Dimension walks and Schoenberg spectral measures
- Metric Spaces and Positive Definite Functions
- Bernstein functions. Theory and applications
- Scattered Data Approximation