Dynamic Time Series Models using R-INLA

Dynamic Time Series Models using R-INLA by Nalini Ravishanker


ISBN
9780367654276
Published
Binding
Hardcover
Pages
282
Dimensions
178 x 254mm

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.
EOFY 2025 Book Frenzy
137.69
RRP: $161.99
15% off RRP


This product is unable to be ordered online. Please check in-store availability.
Instore Price: $161.99
Enter your Postcode or Suburb to view availability and delivery times.

You might also like

Simply Maths
19.99
16.99
15% Off
Adam Spencers Maths 101
35.00
16.00
54% Off
Speed Mathematics 3rd Ed
22.95
19.51
15% Off
Humble Pi
24.99
21.24
15% Off

RRP refers to the Recommended Retail Price as set out by the original publisher at time of release.
The RRP set by overseas publishers may vary to those set by local publishers due to exchange rates and shipping costs.
Due to our competitive pricing, we may have not sold all products at their original RRP.