Dynamic Time Series Models using R-INLA: An Applied Perspective
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Preface
1 Bayesian Analysis
2 A Review of INLA
3 Details of R-INLA for Time Series
4 Modeling Univariate Time Series
5 Time Series Regression Models
6 Hierarchical Dynamic Models for Panel Time Series
7 Non-Gaussian Continuous Responses
8 Modeling Categorical Time Series
9 Modeling Count Time Series
10 Modeling Stochastic Volatility
- 10.1 Introduction
- 10.2 Univariate SV models
11 Spatio-temporal Modeling
12 Multivariate Gaussian Dynamic Modeling
13 Hierarchical Multivariate Time Series
14 Resources for the User

Dynamic Time Series Models using R-INLA: An Applied Perspective

Nalini Ravishanker, Balaji Raman, and Refik Soyer

2023-03-18

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Welcome to the online version of this book. Hard copies can be purchased from CRC Press.