Dynamic Time Series Models using R-INLA
Taylor & Francis

Dynamic Time Series Models using R-INLA

Edition: 1st Edition
Subjects: Maths & Science, Mathematics & science
ISBN13: 9780367654276
Published: 10 Aug 2022

Format - Hardback
By Nalini Ravishanker

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A$143.20
A$143.20 A$179.00
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Dynamic Time Series Models using R-INLA

A$143.20
A$143.20 A$179.00
Product description
Dynamic Time Series Models using R-INLA: An Applied Perspective&lt 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 FeaturesIntroduction 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.
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