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Applied Bayesian Forecasting and Time Series Analysis: Chapman & Hall/CRC Texts in Statistical Science

Francis Turner

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Published in Applied Bayesian Forecasting And Time Analysis (Chapman Hall/CRC Texts In Statistical Science 29)

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Authors: Antonio Cipollini, Enrico Buccianti, and Beatrice R. A. Rodrigues

Publisher: Chapman and Hall/CRC

Applied Bayesian Forecasting and Time Analysis (Chapman Hall/CRC Texts in Statistical Science 29)

Applied Bayesian Forecasting and Time Series Analysis (Chapman & Hall/CRC Texts in Statistical Science Book 29)

by Andy Pole

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

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.

Applied Bayesian Forecasting and Time Series Analysis (Chapman & Hall/CRC Texts in Statistical Science Book 29)

by Andy Pole

4.1 out of 5