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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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Bayesian Model Selection and Statistical Modeling

different types of simulation-based Bayesian model selection criteria, including the numerical calculation of Bayes factors.;

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Monte Carlo Simulation for the Pharmaceutical Industry

chapter explores Monte Carlo computing techniques for statistical inference. This book offers a systematic treatment of computer simulation;

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Monte Carlo Simulation for the Pharmaceutical Industry

chapter explores Monte Carlo computing techniques for statistical inference. This book offers a systematic treatment of computer simulation;

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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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A Guide to Monte Carlo Simulations in Statistical Physics

Graduate textbook on simulation methods in statistical physics.;

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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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The Monte Carlo Simulation Method for System Reliability and Risk Analysis

Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting;

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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 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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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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Hands-On Simulation Modeling with Python

prototype using simulation modeling techniques Understand various statistical and physical simulations to improve systems using Python Book;

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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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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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Optionsbewertung mit Monte-Carlo-Simulation

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

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Monte Carlo Methods and Models in Finance and Insurance

, including the multilevel Monte Carlo method, the statistical Romberg method, and the Heath-Platen estimator, as well as recent financial and;

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Statistics, Data Analysis And Decision Modeling

control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization;

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Engineering Risk Assessment with Subset Simulation

techniques called Markov Chain Monte Carlo method (MCMC), an important machinery behind Subset Simulation that allows one to generate samples for;

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Fundamentals and Applications of Monte Carlo Simulations

This book consists of up-to-date information regarding the fundamentals and applications of Monte Carlo simulations. The aim of this book;

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Introdu To Statistical Computing

A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has;

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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 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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Econometric Modeling

-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough;

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Monte Carlo Methods In Mechanics Of Fluid And Gas

This book is devoted to analysis of Monte Carlo methods developed in rarefied gas dynamics. Presented is the short history of the;

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Modeling in Medical Decision Making

. Simulation-based Bayesian methods are especially promising, as they provide a unified framework for data collection, inference, and decision making;

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