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  • Stochastic Simulation and Monte Carlo Methods

    Mathematical Foundations of Stochastic Simulation

    Collections series Mathematics and Statistics (R0)
    In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncertainties and the lack of knowledge on the physics of these systems. The error analysis of these ... En savoir plus

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  • Markov Chains

    Analytic and Monte Carlo Computations

    par Carl Graham ...
    Collections series Wiley Series in Probability and Statistics
    Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical theory. This book also features:Numerous ... En savoir plus

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  • Finance with Monte Carlo

    Collections series Mathematics and Statistics (R0)
    This text introduces upper division undergraduate/beginning graduate students in mathematics, finance, or economics, to the core topics of a beginning course in finance/financial engineering. Particular emphasis is placed on exploiting the power of the Monte Carlo method to illustrate and explore financial principles. Monte Carlo is the uniquely appropriate tool for modeling the random factors ... En savoir plus

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  • A Panorama of Discrepancy Theory

    Collections series Mathematics and Statistics (R0)
    This is the first work on Discrepancy Theory to show the present variety of points of view and applications covering the areas Classical and Geometric Discrepancy Theory, Combinatorial Discrepancy Theory and Applications and Constructions. It consists of several chapters, written by experts in their respective fields and focusing on the different aspects of the theory.Discrepancy theory concerns ... En savoir plus

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  • The Signal and the Noise

    Why So Many Predictions Fail-but Some Don't

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    NEW YORK TIMES BESTSELLER • The groundbreaking exploration of probability and uncertainty that explains how to make better predictions in a world drowning in data, from the nation’s foremost political forecaster—updated with insights into the pandemic, journalism today, and pollingOne of The Wall Street Journal’s Ten Best Works of Nonfiction of the Year“Could turn out to be one of the more ... En savoir plus

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  • Equations Involving Malliavin Calculus Operators

    Applications and Numerical Approximation

    Collections series Mathematics and Statistics (R0)
    This book provides a comprehensive and unified introduction to stochastic differential equations and related optimal control problems. The material is new and the presentation is reader-friendly. A major contribution of the book is the development of generalized Malliavin calculus in the framework of white noise analysis, based on chaos expansion representation of stochastic processes and its ... En savoir plus

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  • Modeling Coastal Hypoxia

    Numerical Simulations of Patterns, Controls and Effects of Dissolved Oxygen Dynamics

    Collections series Biomedical and Life Sciences (R0)
    This book provides a snapshot of representative modeling analyses of coastal hypoxia and its effects. Hypoxia refers to conditions in the water column where dissolved oxygen falls below levels that can support most metazoan marine life (i.e., 2 mg O2 l-1). The number of hypoxic zones has been increasing at an exponential rate since the 1960s; there are currently more than 600 documented hypoxic ... En savoir plus

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  • Measurement in Medicine

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    Collections series Practical Guides to Biostatistics and Epidemiology
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  • Explosive Percolation in Random Networks

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    Collections series Mathematics and Statistics (R0)
    This thesis is devoted to the study of the Bohman-Frieze-Wormald percolation model, which exhibits a discontinuous transition at the critical threshold, while the phase transitions in random networks are originally considered to be robust continuous phase transitions. The underlying mechanism that leads to the discontinuous transition in this model is carefully analyzed and many interesting ... En savoir plus

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  • Advances in Stochastic and Deterministic Global Optimization

    Collections series Mathematics and Statistics (R0)
    Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey calibration, inventory management, timetabling, chemical engineering, energy systems, and competitive ... En savoir plus

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  • Mathematical Statistics for Economics and Business

    Collections series Mathematics and Statistics (R0)
    Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of ... En savoir plus

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  • Asymptotic Chaos Expansions in Finance

    Theory and Practice

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    Collections series Mathematics and Statistics (R0)
    Stochastic instantaneous volatility models such as Heston, SABR or SV-LMM have mostly been developed to control the shape and joint dynamics of the implied volatility surface. In principle, they are well suited for pricing and hedging vanilla and exotic options, for relative value strategies or for risk management. In practice however, most SV models lack a closed form valuation for European ... En savoir plus

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