Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Link opens in a new tab
Search content at Illinois Experts
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Modeling nonstationarity in space and time
Lyndsay Shand
,
Bo Li
Statistics
National Center for Supercomputing Applications (NCSA)
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Modeling nonstationarity in space and time'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Non-stationarity
100%
Non-separable
50%
Expansion Method
50%
Performance Prediction
50%
Streamflow
50%
Non-stationary Covariance
50%
Covariance Structure
50%
Spatial Random Fields
50%
Covariance Model
50%
Space-time Covariance Model
50%
Dimensional Expansion
50%
Mathematics
Covariance Model
100%
Random Field
50%
Covariance Structure
50%
Time Domain
50%
Predictive Performance
50%
Stream Flow
50%