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Business and Economics

  • Computational economics
    Computational methods in econometrics
    Computational techniques applied to economic problems and policies
    Control and game theory
    General equilibrium models
    Economic dynamics
    Software development and implementation
    Bayesian and non-parametric approaches
    Markov processes and Monte Carlo simulation
    Agent based methods
    Machine learning and evolutionary algorithms
    Network modeling; computational aspects of dynamic systems
    Optimization, optimization methods and optimal control
    Equilibrium modeling; hardware and software developments
    Modeling languages, interfaces, and symbolic processing
    Distributed and parallel processing

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