Economic Modeling Using Artificial Intelligence Methods - Tapa blanda

Sinopsis

Foreword.- Preface.- Acknowledgements.- Introduction to Economic Modeling.- Techniques for Economic Modeling: Unlocking the Character of Data.- Automatic Relevance Determination in Economic Modeling.- Neural Approaches to Economic Modeling.- Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing.- Rough Sets Approach to Economic Modeling: Unlocking Knowledge in Financial Data.- Missing Data Approaches to Economic Modeling: Optimization Approach.- Correlations versus Causality Approaches to Economic Modeling.- Evolutionary Approaches to Computational Economics: Application to Portfolio Optimization.- Real-time Approaches to Computational Economics: Self Adaptive Economic Systems.- Multi-Agent Approaches to Economic Modeling: Game Theory, Ensembles, Evolution and the Stock Market.- Control Approaches to Economic Modeling: Application to Inflation Targeting.- Modeling Interstate Conflict: The Role of Economic Interdependency for Maintaining Peace.- Conclusions and Further Work.- Index.

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