Dynamic Time Series Models using R-INLA (ePub)
An Applied Perspective
(Sprache: Englisch)
This Book 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...
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This Book 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.
Autoren-Porträt von Nalini Ravishanker, Balaji Raman, Refik Soyer
Nalini Ravishanker is a professor in the Department of Statistics at the University of Connecticut, Storrs, USA.Balaji Raman is a statistician at Cogitaas AVA, Mumbai, India.
Refik Soyer is a professor in the Department of Decision Sciences at The George Washington University, Washington D.C., USA.
Bibliographische Angaben
- Autoren: Nalini Ravishanker , Balaji Raman , Refik Soyer
- 2022, 1. Auflage, 296 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000622878
- ISBN-13: 9781000622874
- Erscheinungsdatum: 10.08.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 32 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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