<p>In this book, the author adopts a state space approach to time series modeling to provide a new, computer-oriented method for building models for vector-valued time series. This second edition has been completely reorganized and rewritten. Background material leading up to the two types of estima
State Space Modeling of Time Series
โ Scribed by Prof. Masanao Aoki (auth.)
- Publisher
- Springer Berlin Heidelberg
- Year
- 1987
- Tongue
- English
- Leaves
- 323
- Series
- Universitext
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages I-XI
Introduction....Pages 1-2
The Notion of State....Pages 3-8
Representation of Time Series....Pages 9-29
State Space and ARMA Representation....Pages 30-57
Properties of State Space Models....Pages 58-84
Innovation Processes....Pages 85-89
Kalman Filters....Pages 90-110
State Vectors and Optimality Measures....Pages 111-118
Computation of System Matrices....Pages 119-148
Approximate Models and Error Analysis....Pages 149-176
Numerical Examples....Pages 177-228
Erratum to: Properties of State Space Models....Pages 315-315
Erratum to: Computation of System Matrices....Pages 315-315
Erratum....Pages 315-315
Back Matter....Pages 229-314
โฆ Subjects
Economic Theory
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