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Smoothness Priors Analysis of Time Series

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Cover of 'Smoothness Priors Analysis of Time Series'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Modeling Concepts and Methods
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    Chapter 3 The Smoothness Priors Concept
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    Chapter 4 Scalar Least Squares Modeling
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    Chapter 5 Linear Gaussian State Space Modeling
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    Chapter 6 General State Space Modeling
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    Chapter 7 Applications of Linear Gaussian State Space Modeling
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    Chapter 8 Modeling Trends
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    Chapter 9 Seasonal Adjustment
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    Chapter 10 Estimation of Time Varying Variance
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    Chapter 11 Modeling Scalar Nonstationary Covariance Time Series
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    Chapter 12 Modeling Multivariate Nonstationary Covariance Time Series
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    Chapter 13 Modeling Inhomogeneous Discrete Processes
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    Chapter 14 Quasi-Periodic Process Modeling
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    Chapter 15 Nonlinear Smoothing
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    Chapter 16 Other Applications
Attention for Chapter 11: Modeling Scalar Nonstationary Covariance Time Series
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