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Monte Carlo Methods and Models in Finance and Insurance

Offering a unique balance between applications and calculations, Monte Carlo Methods and Models in Finance and Insurance incorporates the;

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Applied Diffusion Processes from Engineering to Finance

similarities are discussed. Analytical, numerical and Monte Carlo simulation methods are explained with a view to applying them to obtain the solutions;

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Monte Carlo and Quasi-Monte Carlo Methods

This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods;

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Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance

presented in this book can be faster and more accurate than (quasi-) Monte Carlo methods, even for integrands with hundreds of dimensions.;

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Monte Carlo and Quasi-Monte Carlo Sampling

-Monte Carlo sampling in practice. The first part of the book focuses on issues related to Monte Carlo methods-uniform and non-uniform random;

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Mean Field Simulation for Monte Carlo Integration

applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally;

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Mean Field Simulation for Monte Carlo Integration

applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally;

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Handbook of Monte Carlo Methods

A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applications More and more;

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Monte Carlo Methods in Finance

, practical hands on guide to Monte Carlo simulation introduces standard and advanced methods to the increasing complexity of derivatives portfolios;

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Handbook in Monte Carlo Simulation

An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with;

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Monte-carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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Monte-Carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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A Workout in Computational Finance

of financial models to market data, Monte Carlo and Quasi Monte Carlo techniques for simulating high dimensional systems, and local and global;

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Quantum Monte Carlo Methods

provide a pedagogical overview of the field and its applications. The book provides a comprehensive introduction to the Monte Carlo method, its;

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Quasi-Monte Carlo Methods in Finance

of the state variables and their Malliavin derivatives. In contrast to other approaches, where Monte Carlo methods are used to compute the;

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Advances In Chemical Physics

Number Generators for Parallel Applications Ashok Srinivasan, David M. Ceperley and Michael Mascagni Between Classical and Quantum Monte Carlo;

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Monte-Carlo and Quasi-Monte Carlo Methods 1998

This book represents the refereed proceedings of the Third International Conference on Monte Carlo and Quasi-Monte Carlo Methods;

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Fast Sequential Monte Carlo Methods for Counting and Optimization

A comprehensive account of the theory and application of Monte Carlo methods Based on years of research in efficient Monte Carlo methods;

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Monte Carlo Simulation with Applications to Finance

provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate;

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Exploring Monte Carlo Methods

treats the subject generically through the first eight chapters and, thus, should be of use to anyone who wants to learn to use Monte Carlo. The;

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An Introduction to Sequential Monte Carlo

(through e.g. particle Markov chain Monte Carlo techniques) and the simulation of challenging probability distributions (in e.g. Bayesian inference;

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Computational Bayesian Statistics

Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on;

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Computational Bayesian Statistics

Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on;

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Numerical Methods in Finance

of portfolio management strategies; statistical procedures; identification of models; Monte Carlo methods; and numerical implications of stochastic;

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Publications of the Newton Institute

of portfolio management strategies; statistical procedures; identification of models; Monte Carlo methods; and numerical implications of stochastic;

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Monte Carlo Calculations in Nuclear Medicine

in Diagnostic Imaging covers the applications of Monte Carlo calculations in nuclear medicine and critically reviews them from a diagnostic perspective;

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Monte Carlo Techniques in Radiation Therapy

Modern cancer treatment relies on Monte Carlo simulations to help radiotherapists and clinical physicists better understand and compute;

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