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Rare Event Simulation using Monte Carlo Methods

evaluate the probability of rare events is therefore a critical issue. Monte Carlo Methods, the simulation of corresponding models, are used to;

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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

Carlo, featuring key algorithms such as the Metropolis-Hastings method, the Gibbs sampler, and hit-and-run * Discrete-event simulation;

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Fast Sequential Monte Carlo Methods for Counting and Optimization

for estimation of rare-event probabilities, counting problems, and combinatorial optimization, Fast Sequential Monte Carlo Methods for;

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Engineering Risk Assessment with Subset Simulation

This book starts with the basic ideas in uncertainty propagation using Monte Carlo methods and the generation of random variables and;

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Monte-carlo Methods and Stochastic Processes

-Carlo methods and an overview of three typical Monte-Carlo problems: numerical integration and computation of expectation, simulation of complex;

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Monte-Carlo Methods and Stochastic Processes

-Carlo methods and an overview of three typical Monte-Carlo problems: numerical integration and computation of expectation, simulation of complex;

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Simulation and the Monte Carlo Method

This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a;

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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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Monte Carlo Methods and Models in Finance and Insurance

focus on the main principles of financial and insurance mathematics. The book describes high-level Monte Carlo methods for standard simulation;

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Handbook in Monte Carlo Simulation

an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and;

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Monte Carlo Simulation and Resampling Methods for Social Science

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book illustrates abstract;

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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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Monte Carlo Simulation for the Pharmaceutical Industry

Helping you become a creative, logical thinker and skillful simulator, Monte Carlo Simulation for the Pharmaceutical Industry: Concepts;

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Monte Carlo Simulation for the Pharmaceutical Industry

Helping you become a creative, logical thinker and skillful simulator, Monte Carlo Simulation for the Pharmaceutical Industry: Concepts;

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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 Simulation-Based Statistical Modeling

general statistical modeling using Monte-Carlo simulations. The data and computer programs used here will also be made publicly available;

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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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Optionsbewertung mit Monte-Carlo-Simulation

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

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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 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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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 Monte Carlo

illustrative applications in Financial Mathematics, Markov chain Monte Carlo, and Discrete Event Simulation. Each chapter contains a good selection;

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Simulation and Monte Carlo

illustrative applications in Financial Mathematics, Markov chain Monte Carlo, and Discrete Event Simulation. Each chapter contains a good selection;

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A Guide to Monte Carlo Simulations in Statistical Physics

Graduate textbook on simulation methods in statistical physics.;

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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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