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Economic Modeling Using Artificial Intelligence Methods

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Cover of 'Economic Modeling Using Artificial Intelligence Methods'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Economic Modeling
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    Chapter 2 Techniques for Economic Modeling: Unlocking the Character of Data
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    Chapter 3 Automatic Relevance Determination in Economic Modeling
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    Chapter 4 Neural Approaches to Economic Modeling
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    Chapter 5 Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing
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    Chapter 6 Rough Sets Approach to Economic Modeling: Unlocking Knowledge in Financial Data
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    Chapter 7 Missing Data Approaches to Economic Modeling: Optimization Approach
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    Chapter 8 Correlations Versus Causality Approaches to Economic Modeling
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    Chapter 9 Evolutionary Approaches to Computational Economics: Application to Portfolio Optimization
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    Chapter 10 Real-Time Approaches to Computational Economics: Self Adaptive Economic Systems
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    Chapter 11 Multi-agent Approaches to Economic Modeling: Game Theory, Ensembles, Evolution and the Stock Market
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    Chapter 12 Control Approaches to Economic Modeling: Application to Inflation Targeting
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    Chapter 13 Modeling Interstate Conflict: The Role of Economic Interdependency for Maintaining Peace
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    Chapter 14 Conclusions and Further Work
Attention for Chapter 5: Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing
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