This book constitutes the refereed proceedings of the 13th International Symposium on Static Analysis, SAS 2006. The book ...
Lee mas
The book addresses all aspects of static analysis including abstract domains, abstract interpretation, abstract testing, ...
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The statistical analysis of extreme data is important for various disciplines, including hydrology, insurance, finance, engineering ...
Lee mas
Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in ...
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Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the ...
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STATISTICAL MODELING AND ANALYSIS FOR COMPLEX DATA PROBLEMS treats some of today’s more complex problems and it reflects ...
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This volume was prepared to share with a larger audience the exciting ideas and work presented at an ICML 2006 workshop of ...
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The book develops the statistical approach to inverse problems with an emphasis on modeling and computations. The framework ...
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This book constitutes the refereed proceedings of the 4th International Symposium on Stochastic Algorithms: Foundations and ...
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Constitutes the refereed proceedings of the Third International Symposium on Stochastic Algorithms: Foundations and Applications, ...
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The behavior of many technical systems important in everyday life can be described using discrete states and state-changing ...
Lee mas
Stochastic Dominance is devoted to investment decision-making under uncertainty. The book covers three basic approaches to ...
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The volume "Stochastic Geometry" contains the lectures given at the CIME summer school in Martina Franca in September 1974. ...
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This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive ...
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STOCHASTIC LINEAR PROGRAMMING: Models, Theory, and Computation is a definitive presentation and discussion of the theoretical ...
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The search for optimal solutions pervades our daily lives. From the scientific point of view, optimization procedures play ...
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Optimization problems arising in practice involve random parameters. For the computation of robust optimal solutions, i.e., ...
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Optimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, ...
Lee mas
Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers ...
Lee mas
Stochastic geometry has in recent years experienced considerable progress, both in its applications to other sciences and ...
Lee mas