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 Connecting Analytical Thinking and Intuition by
Cover of the book Proust, Music, and Meaning by
Cover of the book Radiobiology and Radiation Hormesis by
Cover of the book Enriched Methane by
Cover of the book Calixarenes and Beyond by
Cover of the book Success and Failure of IS/IT Projects by
Cover of the book Modelling the Upper Atmosphere of Gas-Giant Exoplanets Irradiated by Low-Mass Stars by
Cover of the book Excel 2016 for Human Resource Management Statistics by
Cover of the book Developing Leadership and Employee Health Through the Arts by
Cover of the book Space Safety is No Accident by
Cover of the book Poverty and Well-Being in East Africa by
Cover of the book Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017 by
Cover of the book Location-Based Social Media by
Cover of the book Nonlinear Data Assimilation by
Cover of the book Algorithmic Aspects of Cloud Computing 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