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Monte Carlo Simulation with Applications to Finance

Developed from the author's course on Monte Carlo simulation at Brown University, Monte Carlo Simulation with Applications to Finance;

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Monte Carlo Methods and Models in Finance and Insurance

application background of finance and insurance with the theory and applications of Monte Carlo methods. It presents recent methods and algorithms;

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Handbook in Monte Carlo Simulation

and risk management to optimization. The Handbook in Monte Carlo Simulation features: * An introductory section for basic material on;

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Handbook of Monte Carlo Methods

MATLAB(R) code, allowing readers to work hands-on with the material and also features the author's own lecture notes on Monte Carlo methods;

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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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Simulation and Monte Carlo

Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational;

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Simulation and Monte Carlo

Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational;

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Monte Carlo

This work is a useful reference book of classic research and new writing on the methodologies and applications of Monte Carlo simulation;

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Numerical Probability

This textbook provides a self-contained introduction to numerical methods in probability with a focus on applications to finance. Topics;

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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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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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Engineering Risk Assessment with Subset Simulation

analysis * Illustrates examples with MS Excel spreadsheets, allowing readers to gain hands-on experience with Monte Carlo simulation * Covers;

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Monte Carlo Simulation in the Radiological Sciences

First Published in 1988, this book offers a full exploration into the applications of the Monte Carlo Simulation. Carefully compiled and;

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Monte Carlo Simulation in the Radiological Sciences

First Published in 1988, this book offers a full exploration into the applications of the Monte Carlo Simulation. Carefully compiled and;

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Monte-Carlo Simulation-Based Statistical Modeling

This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present;

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Advanced Simulation-Based Methods for Optimal Stopping and Control

This is an advanced guide to optimal stopping and control, focusing on advanced Monte Carlo simulation and its application to finance;

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Quasi-Monte Carlo Methods in Finance

weights, here the simulation is carried out using Quasi-Monte Carlo methods in order to improve the efficiency. Despite some previous work on;

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Introducing Monte Carlo Methods with R

simulation to solve statistical problems. Introducing Monte Carlo Methods with R covers the main tools used in statistical simulation from a;

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Monte Carlo and Quasi-Monte Carlo Sampling

random sampling inherent to Monte Carlo by quasi-random sampling. The second part of the book deals with this next step. Several aspects of quasi;

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Optionsbewertung mit Monte-Carlo-Simulation

Optionsbewertung Mit Monte-Carlo-Simulation is een boek van Stefano Gioia;

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Quantum Monte Carlo Methods

Featuring detailed explanations of the major algorithms used in quantum Monte Carlo simulations, this is the first textbook of its kind to;

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Simulation and the Monte Carlo Method

importance sampling parameters Over 100 algorithms in modern pseudo code with flow control Over 25 new exercises Simulation and the Monte Carlo;

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Student Solutions Manual To Accompany Simulation And The Monte Carlo Method

-entropy method to rare events estimation and combinatorial optimization Application of Monte Carlo techniques for counting problems, with an;

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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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Monte Carlo Simulation for the Pharmaceutical Industry

in drug development. It not only deals with the principles and methods of Monte Carlo simulation, but also the applications in drug development;

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