This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades stochastic calculus and processes have gained great importance, because they...

This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the analysis of dynamic-stochastic multi-project environments this book addresses two problems: detailed scheduling of project activities, and integrated order...

Illustrative Graphs -- Intriguing Properties -- Markov Chains -- Markov Decision Processes -- Determinants -- Traces -- Linear Programming Based Algorithms -- Interior Point and Cross-Entropy Algorithms -- Self-similar Structure and Hamiltonicity -- Graph Enumeration

The Design of Manufacturing Systems to Cope with Variability -- Modeling Automated Warehouses Using Semi-Open Queueing Networks -- Exact Analysis of Discrete Part Production Lines -- Models of Leveling for Lean Manufacturing Systems -- Value of Advance Demand Information in Production and...

Preface -- Introduction -- Part 1: History -- Developments in Risk and Insurance Economics: the Past 40 Years -- Part 2 : Risk and Insurance Theory Without Information Problems -- Higher-Order Risk Attitudes -- Non-Expected Utility and the Robustness of the Classical Insurance Paradigm -- The...

Models -- and Examples -- Uncertainty and Modeling Issues -- Basic Properties -- Basic Properties and Theory -- The Value of Information and the Stochastic Solution -- Solution Methods -- Two-Stage Linear Recourse Problems -- Nonlinear Programming Approaches to Two-Stage Recourse Problems --...

I. Dynamic Decision Problems under Uncertainty: Modeling Aspects -- Reflections on Output Analysis for Multistage Stochastic Linear Programs -- Modeling Support for Multistage Recourse Problems -- Optimal Solutions for Undiscounted Variance Penalized Markov Decision Chains -- Approximation and...

This book is devoted to investment decision-making under uncertainty. The book covers three basic approaches to this process: the stochastic dominance approach; the mean-variance approach; and the non-expected utility approach, focusing on prospect theory and its modified version, cumulative...

Aims to give a view of the scientific production in the fields of Agent-based Computational Economics, mainly in Market Finance and Game Theory. Based on communications given at AE'2005 (Lille, USTL, France), this book offers a panorama of advances in ACE, both theoretical and methodological...