Predictive Econometrics and Big Data

Business & Finance, Economics, Econometrics, Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Predictive Econometrics and Big Data by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319709420
Publisher: Springer International Publishing Publication: November 30, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319709420
Publisher: Springer International Publishing
Publication: November 30, 2017
Imprint: Springer
Language: English

This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held in Chiang Mai, Thailand, on January 10-12, 2018, its main focus is on predictive techniques – which directly aim at predicting economic phenomena; and big data techniques – which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. The book also discusses the applications of more traditional statistical techniques to econometric problems.

Econometrics is a branch of economics that employs mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. It is therefore important to develop data processing techniques that explicitly focus on prediction. The more data we have, the better our predictions will be. As such, these techniques are essential to our ability to process huge amounts of available data.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held in Chiang Mai, Thailand, on January 10-12, 2018, its main focus is on predictive techniques – which directly aim at predicting economic phenomena; and big data techniques – which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. The book also discusses the applications of more traditional statistical techniques to econometric problems.

Econometrics is a branch of economics that employs mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. It is therefore important to develop data processing techniques that explicitly focus on prediction. The more data we have, the better our predictions will be. As such, these techniques are essential to our ability to process huge amounts of available data.

More books from Springer International Publishing

Cover of the book Childbirth-Related Pelvic Floor Dysfunction by
Cover of the book Software Engineering by
Cover of the book Problem Behavior Theory and the Social Context by
Cover of the book Human-Computer Interaction - INTERACT 2017 by
Cover of the book Intermediation and Representation in Latin America by
Cover of the book Luminescence in Electrochemistry by
Cover of the book Pediatric Neurotoxicology by
Cover of the book Prospect in Pediatric Diseases Medicine by
Cover of the book The Caribbean Oral Tradition by
Cover of the book Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation by
Cover of the book Behaviour of Lithium-Ion Batteries in Electric Vehicles by
Cover of the book Asymptotic Safety and Black Holes by
Cover of the book Queues and Lévy Fluctuation Theory by
Cover of the book Could the Versailles System have Worked? by
Cover of the book Kidney Development and Disease by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy