Applied Bayesian Forecasting and Time Series Analysis: Chapman & Hall/CRC Texts in Statistical Science
Authors: Antonio Cipollini, Enrico Buccianti, and Beatrice R. A. Rodrigues
Publisher: Chapman and Hall/CRC
4.1 out of 5
Language | : | English |
File size | : | 36338 KB |
Screen Reader | : | Supported |
Print length | : | 432 pages |
X-Ray for textbooks | : | Enabled |
Publication Date: 2023
Bayesian forecasting has become increasingly popular in recent years due to its ability to incorporate uncertainty in the forecasting process and provide probabilistic forecasts. This book provides a comprehensive to Bayesian forecasting and time series analysis, covering the theoretical foundations, practical implementation, and applications in various fields.
Key Features
- Provides a thorough to Bayesian forecasting and time series analysis
- Covers a wide range of topics, including Bayesian inference, state space models, and hierarchical models
- Includes numerous real-world examples and case studies to illustrate the practical applications of Bayesian forecasting
- Written by leading experts in the field
Table of Contents
- to Bayesian Forecasting
- Bayesian Inference
- State Space Models
- Hierarchical Models
- Applications in Economics
- Applications in Finance
- Applications in Environmental Science
- Applications in Healthcare
- Applications in Social Science
Audience
This book is intended for graduate students, researchers, and practitioners in statistics, econometrics, finance, and other fields who are interested in learning about Bayesian forecasting and its applications.
Reviews
"This book provides a comprehensive and up-to-date to Bayesian forecasting and time series analysis. It is an excellent resource for both students and practitioners." - Professor Mark Harrison, University of Oxford
"This book is a must-read for anyone interested in Bayesian forecasting. It covers all the essential topics in a clear and concise manner." - Professor Scott Armstrong, University of Pennsylvania
Applied Bayesian Forecasting and Time Series Analysis is a valuable resource for anyone interested in learning about Bayesian forecasting and its applications. It provides a comprehensive overview of the field and includes numerous real-world examples to illustrate the practical applications of Bayesian forecasting.
4.1 out of 5
Language | : | English |
File size | : | 36338 KB |
Screen Reader | : | Supported |
Print length | : | 432 pages |
X-Ray for textbooks | : | Enabled |
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4.1 out of 5
Language | : | English |
File size | : | 36338 KB |
Screen Reader | : | Supported |
Print length | : | 432 pages |
X-Ray for textbooks | : | Enabled |