Tapis kalman ruang waktu=Space time Kalman filter
| Main Author: | Perpustakaan UGM, i-lib |
|---|---|
| Format: | Article NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2005
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/18021/ http://i-lib.ugm.ac.id/jurnal/download.php?dataId=796 |
Daftar Isi:
- 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.