Smoothing and Interpolation with the State-Space Model
作者:
Piet de Jong,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1989)
卷期:
Volume 84,
issue 408
页码: 1085-1088
ISSN:0162-1459
年代: 1989
DOI:10.1080/01621459.1989.10478876
出版商: Taylor & Francis Group
关键词: Kalman filter
数据来源: Taylor
摘要:
A new result dealing with smoothing and interpolation in the state-space model is developed and explored. The result simplifies the derivation of existing smoothing algorithms and provides alternate forms that have analytic and practical computing advantages. The connection to signal extraction and interpolation is explored, and diffuse specifications are considered.
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