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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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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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Fast Sequential Monte Carlo Methods for Counting and Optimization

includes: * Detailed algorithms needed to practice solving real-world problems * Numerous examples with Monte Carlo method produced solutions;

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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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A First Course in Bayesian Statistical Methods

. Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves. The development of Monte;

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A First Course in Bayesian Statistical Methods

. Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves. The development of Monte;

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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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Exploring Monte Carlo Methods

Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to be known as Monte Carlo. The book;

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Advances In Chemical Physics

In Monte Carlo Methods in Chemical Physics: An Introduction to the Monte Carlo Method for Particle Simulations J. Ilja Siepmann Random;

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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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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 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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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 Techniques in Radiation Therapy

radiation dose from imaging devices as well as exploit four-dimensional imaging data. With Monte Carlo-based treatment planning tools now available;

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Monte Carlo Techniques in Radiation Therapy

radiation dose from imaging devices as well as exploit four-dimensional imaging data. With Monte Carlo-based treatment planning tools now available;

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Monte-carlo Methods and Stochastic Processes

the problem of numerical integration and computation of expectation by the Monte-Carlo method. The book begins with a history of Monte;

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Monte-Carlo Methods and Stochastic Processes

the problem of numerical integration and computation of expectation by the Monte-Carlo method. The book begins with a history of Monte;

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Statistical Computing with R

feature R, Statistical Computing with R covers the traditional core material of computational statistics, with an emphasis on using the R language;

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Monte Carlo Methods for Electromagnetics

handing Neumann problems. It also deals with whole field computation using the Markov chain, applies Monte Carlo methods to time-varying diffusion;

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Monte Carlo Methods for Electromagnetics

handing Neumann problems. It also deals with whole field computation using the Markov chain, applies Monte Carlo methods to time-varying diffusion;

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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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Solid Angle Computation with Monte Carlo Methods

of solid angles and gives the salient features of solid angles along with the necessary mathematical development for computation. Why Monte Carlo;

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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

This book is intended for undergraduate students of Mathematics, Statistics, and Physics who know nothing about Monte Carlo Methods but;

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Quasi-Monte Carlo Methods in Finance

optimal order of convergence is not achieved. With the help of some recent results concerning Monte-Carlo error estimation and backed by some;

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