Predictive Econometrics and Big Data

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kreinovich, Vladik (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sriboonchitta, Songsak (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Chakpitak, Nopasit (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Computational Intelligence, 753
• Θέματα: Computational intelligence.; Artificial intelligence.; Econometrics.; Computational Intelligence.; Artificial Intelligence.

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 d...

Πίνακας περιεχομένων:

• Data in the 21st Century
• The Understanding of Dependent Structure and Co-Movement of World Stock Exchanges Under the Economic Cycle
• Macro-Econometric Forecasting for During Periods of Economic Cycle Using Bayesian Extreme Value Optimization Algorithm
• Generalize Weighted in Interval Data for Fitting a Vector Autoregressive Model
• Asymmetric Effect with Quantile Regression for Interval-valued Variables
• Emissions, Trade Openness, Urbanisation, and Income in Thailand: An Empirical Analysis
• Does Forecasting Benefit from Mixed-Frequency Data Sampling Model: The Evidence from Forecasting GDP Growth Using Financial Factor in Thailand
• How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty.