Advances in Stochastic Modelling and Data Analysis Jacques Janssen

Advances in Stochastic Modelling and Data Analysis by Jacques Janssen

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Audience: A wide readership drawn from theoretical and applied mathematicians, such as operations researchers, management scientists, statisticians, computer scientists, bankers, marketing managers, forecasters, and scientific societies such as EURO and TIMS.

Advances in Stochastic Modelling and Data Analysis by Jacques Janssen

Advances in Stochastic Modelling and Data Analysis presents the most recent developments in the field, together with their applications, mainly in the areas of insurance, finance, forecasting and marketing. In addition, the possible interactions between data analysis, artificial intelligence, decision support systems and multicriteria analysis are examined by top researchers.
Audience: A wide readership drawn from theoretical and applied mathematicians, such as operations researchers, management scientists, statisticians, computer scientists, bankers, marketing managers, forecasters, and scientific societies such as EURO and TIMS.

Preface. I: Stochastic Modelling in Finance Insurance and Economics. A Dynamic Stochastic ALM Model for Insurance Companies; J. Janssen. Expected Optimal Exercise Time of a Perpetual American Option: A Closed Form Solution; R. Yaksick. Immunization and the Optimal Structure of the Balance Sheet; Y. Machnes. Recursive Filtering for the Uhlenbeck Random Field: An Application to Image Restoring; M. D. Ruiz-Medina, M. Valderrama. Forecasting the Electricity Consumption by Applying Stochastic Modelling Techniques: The Case of Greece; A. Giovanis, C. H. Skiadas. Applied Stochastic Models and Data Analysis for Engineering Education; N. Koumotsos, C. H. Skiadas. II: Data Analysis and Economics. A Scientific View of Economic and Financial Data Analysis; C. A. Los. Variational Data Analysis versus Classical Data Analysis; P. Michaud. Characteristics of Meat Demand in Greece; M. Demoussis, P. Drakos. The Economic Development of the Greek Agricultural Marketing Cooperatives; K. Oustapassidis et al. Regression Models for Repeated Medical Random Counts; G. MacKenzie. III: Forecasting and Marketing. A Lagrangian Approach for the Selection of Growth Functions in Forecasting; C. H. Skiadas. Forecasting Agricultural Commodity Markets under Policy Constraints: A Retrospective Case Study; C. Ritson, A. Fearne. Transfer, Diffusion and Development of Technology of Petrochemical, Plastics and Elastomers in Greece: The Factors of the Successful Transfer (Absorption, Development, R&D); A. Ktenas. Forecasting the Consumption of Milk and Dairy Products in Greece; A. Xepapadeas, H. Habib. Data Analysis Methods Applied to Agricultural Marketing; N. F. Matsatsinis et al. IV: Multicriteria Decision Support Systems. Designing a Multicriteria Decision Support System for Portfolio Selection and Management; C. Zopounidis et al. Comparative Behavioral Analysis of the European Olive Oil Consumer; Y. Siskos et al. The Political Risk in the Foreign Investment Strategic Decisions; A. Chevalier et al. Consumer Behavioral Analysis Using Multicriteria Method; G. Baourakis et al. A Visual Approach to the Procedures of Multicriteria Intelligence Decision Aiding Systems; A. Spyridakos, D. Yannacopoulos. V: Artificial Intelligence, Expert Systems and Neural Networks. Using Typicality to Support Inference and Learning; V. S. Moustakis et al. Identification of Constrained Robot Dynamics Using Dynamic Neural Networks; E. B. Kosmatopoulos, M. A. Christodoulou. Conception of an Expert System of Control Filtering for Statistical Surveys; C. van Brussel, J. Troussart. Author Index.

Advances in Stochastic Modelling and Data Analysis Jacques Janssen

Advances in Stochastic Modelling and Data Analysis by Jacques Janssen

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Advances in Stochastic Modelling and Data Analysis Summary

Advances in Stochastic Modelling and Data Analysis by Jacques Janssen

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