Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
Modeling nonstationary covariance function with convolution on sphere
Yang Li, Zhengyuan Zhu
Mathematics & Statistics
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Modeling nonstationary covariance function with convolution on sphere'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Random Field
100%
Covariance Function
100%
Kernel Function
100%
Non-stationary Covariance Function
100%
Covariance Structure
50%
Fast Fourier Transform
50%
Covariance Matrix
50%
Circulant
50%
Convolution Method
50%
Precomputation
50%
Satellite-based
50%
Block Properties
50%
Regular Grid
50%
Numerical Evaluation
50%
Total Ozone Mapping Spectrometer
50%
Kernel Convolution
50%
Inverse Matrix
50%
Non-stationary Covariance
50%
Non-stationary Property
50%
Spatial Random Fields
50%
Grid Data
50%
Mathematics
Convolution
100%
Covariance Function
100%
Random Field
100%
Closed Form
33%
Matrix
33%
Covariance Matrix
33%
Covariance Structure
33%
Fast Fourier Transform
33%