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A Nonstationary Designer Space-Time Kernel
| Content Provider | Semantic Scholar |
|---|---|
| Author | Francisco, San |
| Copyright Year | 2018 |
| Abstract | In spatial statistics, kriging models are often designed using a stationary covariance 1 structure; this translation-invariance produces models which have numerous favor2 able properties. This assumption can be limiting, though, in circumstances where 3 the dynamics of the model have a fundamental asymmetry, such as in modeling 4 phenomena that evolve over time from a fixed initial profile. We propose a new 5 nonstationary kernel which is only defined over the half-line to incorporate time 6 more naturally in the modeling process. 7 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://openreview.net/pdf?id=rkgbZRtRK7 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
