Decision Theory

Introduction;
PART I: Deterministic Models;
Multi-Stage Decision Problems;
Networks;
Further Applications;
Convexity;
PART II: Stochastic Models;
General Principles;
Optimal Stopping;
Special Problems;
PART III: Markov Decision Processes;
General Theory;
Minimising Average Costs;
Statistical Decision

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• Fundamentos da Matemática
• Probabilidade e Estatística

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