Dynamic Time Series Models using R INLA is popular PDF and ePub book, written by Nalini Ravishanker in 2022-08-10, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Dynamic Time Series Models using R INLA can be Read Online from any device for your convenience.
Dynamic Time Series Models using R INLA Book PDF Summary
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.
Detail Book of Dynamic Time Series Models using R INLA PDF
- Author : Nalini Ravishanker
- Release : 10 August 2022
- Publisher : CRC Press
- ISBN : 9781000622607
- Genre : Mathematics
- Total Page : 297 pages
- Language : English
- PDF File Size : 19,9 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Dynamic Time Series Models using R INLA by Nalini Ravishanker, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.
