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 d...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Kreinovich, Vladik (Editör), Sriboonchitta, Songsak (Editör), Chakpitak, Nopasit (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edisyon:1st ed. 2018.
Seri Bilgileri:Studies in Computational Intelligence, 753
Konular:
Computational intelligence.
Artificial intelligence.
Econometrics.
Computational Intelligence.
Artificial Intelligence.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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.

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