Nalini Ravishanker

(Author)

Dynamic Time Series Models Using R-Inla: An Applied PerspectiveHardcover, 10 August 2022

Dynamic Time Series Models Using R-Inla: An Applied Perspective
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Print Length
282 pages
Language
English
Publisher
CRC Press
Date Published
10 Aug 2022
ISBN-10
036765427X
ISBN-13
9780367654276

Description

Dynamic Time Series Models using R-INLA: An Applied Perspective is the outcome of a joint effort to systematically describe the use of R-INLA for analysing time series and showcasing the code and description by several examples. This book introduces the underpinnings of R-INLA and the tools needed for modelling different types of time series using an approximate Bayesian framework.

The book is an ideal reference for statisticians and scientists who work with time series data. It provides an excellent resource for teaching a course on Bayesian analysis using state space models for time series.

Key Features:

Introduction and overview of R-INLA for time series analysis.

Gaussian and non-Gaussian state space models for time series.

State space models for time series with exogenous predictors.

Hierarchical models for a potentially large set of time series.

Dynamic modelling of stochastic volatility and spatio-temporal dependence.

Product Details

Authors:
Nalini RavishankerBalaji RamanRefik Soyer
Book Format:
Hardcover
Country of Origin:
US
Date Published:
10 August 2022
Dimensions:
25.4 x 17.78 x 1.75 cm
ISBN-10:
036765427X
ISBN-13:
9780367654276
Language:
English
Location:
Oxford
Pages:
282
Publisher:
Weight:
734.82 gm

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