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portada Predictive Econometrics and Big Data
Type
Physical Book
Publisher
Author
Language
English
Pages
780
Format
Paperback
ISBN13
9783319890180
Categories

Predictive Econometrics and Big Data

Kreinovich, Vladik ; Sriboonchitta, Songsak ; Chakpitak, Nopasit (Author) · Springer · Paperback

Predictive Econometrics and Big Data - Kreinovich, Vladik ; Sriboonchitta, Songsak ; Chakpitak, Nopasit

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Synopsis "Predictive Econometrics and Big Data"

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.

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