Dong Han

Economics and Econometrics · with Wang · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dong Han trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Lean Yu
  2. Marc S. Paolella

Papers from Dong Han's perspective

Ordered by how strongly the researchers Dong Han trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
  2. Carbon price volatility: Evidence from EU ETS
  3. A hybrid ARIMA and support vector machines model in stock price forecasting
  4. CO2 Prices, Energy and Weather
  5. Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
  6. Least Squares Support Vector Machine Classifiers
  7. Price determination in the EU ETS market: Theory and econometric analysis with market fundamentals
  8. European Emission Trading Scheme and competitiveness: A case study on the iron and steel industry
  9. The relationship between crude oil spot and futures prices: cointegration, linear and nonlinear causality
  10. The Nature of Statistical Learning Theory

Their papers