Representing Plans Under Uncertainty, Peter Haddawy
Автор: Giuseppe Calafiore; Fabrizio Dabbene Название: Probabilistic and Randomized Methods for Design under Uncertainty ISBN: 1849965528 ISBN-13(EAN): 9781849965521 Издательство: Springer Рейтинг: Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Probabilistic and Randomized Methods for Design under Uncertainty is a collection of contributions from the world`s leading experts in a fast-emerging branch of control engineering and operations research.
Автор: George M. von Furstenberg Название: Acting under Uncertainty ISBN: 9048157854 ISBN-13(EAN): 9789048157853 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume demonstrates that recognizing the many forms of uncertainty that enter into the development of any particular subject matter is a precondition for more responsible choice and deeper knowledge.
Автор: Consigli Название: Optimal Financial Decision Making under Uncertainty ISBN: 3319416111 ISBN-13(EAN): 9783319416113 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives. Increasingly in recent years, financial management problems such as strategic asset allocation, asset-liability management, as well as asset pricing problems, have been presented in the literature adopting formulation and solution approaches rooted in stochastic programming, robust optimization, stochastic dynamic programming (including approximate SDP) methods, as well as policy rule optimization, heuristic approaches and others. The aim of the volume is to facilitate the comprehension of the modeling and methodological potentials of those methods, thus their common assumptions and peculiarities, relying on similar financial problems. The volume will address different valuation problems common in finance related to: asset pricing, optimal portfolio management, risk measurement, risk control and asset-liability management.The volume features chapters of theoretical and practical relevance clarifying recent advances in the associated applied field from different standpoints, relying on similar valuation problems and, as mentioned, facilitating a mutual and beneficial methodological and theoretical knowledge transfer. The distinctive aspects of the volume can be summarized as follows:
Strong benchmarking philosophy, with contributors explicitly asked to underline current limits and desirable developments in their areas.Theoretical contributions, aimed at advancing the state-of-the-art in the given domain with a clear potential for applicationsThe inclusion of an algorithmic-computational discussion of issues arising on similar valuation problems across different methods.Variety of applications: rarely is it possible within a single volume to consider and analyze different, and possibly competing, alternative optimization techniques applied to well-identified financial valuation problems.Clear definition of the current state-of-the-art in each methodological and applied area to facilitate future research directions.
Автор: Bernadette Bouchon-Meunier; Luis Magdalena; Manuel Название: Foundations of Reasoning under Uncertainty ISBN: 3642107265 ISBN-13(EAN): 9783642107269 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book draws on papers presented at the 2008 Conference on Information Processing and Management of Uncertainty (IPMU), held in Malaga, Spain. The conference brought together some of the world`s leading experts in the study of uncertainty.
Автор: Mohammed Abdellaoui; John D. Hey Название: Advances in Decision Making Under Risk and Uncertainty ISBN: 3642088007 ISBN-13(EAN): 9783642088001 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Uncertainty and Information Modeling.- Revealed Ambiguity and Its Consequences: Updating.- Dynamic Decision Making When Risk Perception Depends on Past Experience.- Representation of Conditional Preferences Under Uncertainty.- Subjective Information in Decision Making and Communication.- Risk Modeling.- Sensitivity Analysis in Decision Making: A Consistent Approach.- Alternation Bias and the Parameterization of Cumulative Prospect Theory.- Proposing a Normative Basis for the S-Shaped Value Function.- Experimental Individual Decision Making.- Individual Choice from a Convex Lottery Set: Experimental Evidence.- Temptations and Dynamic Consistency.- Monty Hall's Three Doors for Dummies.- Overconfidence in Predictions as an Effect of Desirability Bias.- Experimental Interactive Decision Making.- Granny Versus Game Theorist: Ambiguity in Experimental Games.- Guessing Games and People Behaviours: What Can We Learn?.- The Determinants of Individual Behaviour in Network Formation: Some Experimental Evidence.
Автор: Shi-Yu Huang; Jaques Teghem Название: Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty ISBN: 9401074496 ISBN-13(EAN): 9789401074490 Издательство: Springer Рейтинг: Цена: 277650.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.
Автор: Claude Greengard; Andrzej Ruszczynski Название: Decision Making Under Uncertainty ISBN: 1441930140 ISBN-13(EAN): 9781441930149 Издательство: Springer Рейтинг: Цена: 144410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker. The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete.
Автор: J.K. Sengupta Название: Optimal Decisions Under Uncertainty ISBN: 3540150323 ISBN-13(EAN): 9783540150329 Издательство: Springer Рейтинг: Цена: 74490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Methods of optimal decision rules illustrated he re are applicable in three broad areas: (a) applied economic models in resource allocation and economic planning, (b) operations research models involving portfolio analysis and stochastic linear programming and (c) systems science models in stochastic control and adaptive behavior.
Автор: J.K. Sengupta Название: Optimal Decisions under Uncertainty ISBN: 3540108696 ISBN-13(EAN): 9783540108696 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Shi-Yu Huang; Jaques Teghem Название: Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty ISBN: 0792308875 ISBN-13(EAN): 9780792308874 Издательство: Springer Рейтинг: Цена: 277650.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.
Автор: Wolfram Wiesemann Название: Optimization of Temporal Networks under Uncertainty ISBN: 3642437230 ISBN-13(EAN): 9783642437236 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations.
Автор: Hung T. Nguyen; Vladik Kreinovich; Berlin Wu; Gang Название: Computing Statistics under Interval and Fuzzy Uncertainty ISBN: 3642445705 ISBN-13(EAN): 9783642445705 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1.
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