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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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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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includes: * Detailed algorithms needed to practice solving real-world problems * Numerous examples with Monte Carlo method produced solutions;
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Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on;
Vergelijkbare producten zoals Computational Bayesian Statistics
Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on;
Vergelijkbare producten zoals Computational Bayesian Statistics
. Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves. The development of Monte;
Vergelijkbare producten zoals 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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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 is a basic text that describes the numerical methods that have come to be known as Monte Carlo. The book;
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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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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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An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with;
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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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This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods;
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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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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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the problem of numerical integration and computation of expectation by the Monte-Carlo method. The book begins with a history of Monte;
Vergelijkbare producten zoals 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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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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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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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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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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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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Developed from the author's course on Monte Carlo simulation at Brown University, Monte Carlo Simulation with Applications to Finance;
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This book is intended for undergraduate students of Mathematics, Statistics, and Physics who know nothing about Monte Carlo Methods but;
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optimal order of convergence is not achieved. With the help of some recent results concerning Monte-Carlo error estimation and backed by some;
Vergelijkbare producten zoals Quasi-Monte Carlo Methods in Finance
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