Multi-step forecasts of complex dynamical systems using soft-computing tools, with application to crude oil returns

Haidar, Imad (2015). Multi-step forecasts of complex dynamical systems using soft-computing tools, with application to crude oil returns PhD Thesis, Sustainable Minerals Institute, The University of Queensland. doi:10.14264/uql.2015.416

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Author Haidar, Imad
Thesis Title Multi-step forecasts of complex dynamical systems using soft-computing tools, with application to crude oil returns
School, Centre or Institute Sustainable Minerals Institute
Institution The University of Queensland
DOI 10.14264/uql.2015.416
Publication date 2015-03-27
Thesis type PhD Thesis
Supervisor Rodney Wolff
Radhika Lahiri
Marcus Gallagher
Total pages 198
Language eng
Subjects 140303 Economic Models and Forecasting
080108 Neural, Evolutionary and Fuzzy Computation
140205 Environment and Resource Economics
Keyword Crude oil price and return
Artificial Intelligence
ANN
Agent based modeling
time series model

 
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Created: Mon, 23 Mar 2015, 12:05:56 EST by Imad Haidar on behalf of Scholarly Communication and Digitisation Service