Tapis kalman ruang waktu=Space time Kalman filter
Many physical or biological processes involve variability over both space and time. A large datas,et and the modelling of space, time, and spatio-temporal interaction cause traditional space time methods are limited. This paper presents an approach to space time prediction that achieves dimension re...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2005
|
| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/18021/ http://i-lib.ugm.ac.id/jurnal/download.php?dataId=796 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universitas Gadjah Mada |
| Summary: | Many physical or biological processes involve variability over both space and time. A large datas,et and the modelling of space, time, and spatio-temporal interaction cause traditional space time methods are limited. This paper presents an approach to space time prediction that achieves dimension reduction and uses a statistical model that is temporally dynamic and spatially descriptive, called space time Kalman filter. The model also
allows a non dinamic spatial component.
Key Words : prediction, filter, optimal prediction, Bayesian inference, orthonormal basis. |
|---|