Download or read book All in Monte Carlo written by Anna Shilling and published by Troubador Publishing Ltd. This book was released on 2023-09-28 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Four women, four ways to revenge A Monaco insider reveals what life is like in the world's richest and most secretive enclave, where revenge is best served with a glass of champagne.

Download or read book It All Began in Monte Carlo written by Elizabeth Adler and published by Macmillan + ORM. This book was released on 2010-06-29 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beach reading suspense from the New York Times bestselling author of There's Something About St. Tropez Sunny Alvarez and Mac Reilly always seem to find trouble in the south of France. This time, all the trouble began in Monte Carlo. Sunny's relationship with Mac is in jeopardy and Monte Carlo beckons. Soon Sunny is pulled into a web of intrigue involving a series of robberies of high-end jewelry stores. Then there's her wanna-be-new-friend, who turns out to be a sociopath, involved in the sale of sex and in blackmail. Plus there's Sunny's old friend, movie star Allie Ray, who owns a vineyard in France and who comes to help sort Sunny out, while at the same time sorting out the life and appearance of her old friend, Pru Holster, with a makeover that not only changes her dowdy overweight appearance, but changes Pru into an amateur detective. If Sunny doesn't untangle this plot, she might end up an unwitting accomplice to theft, blackmail and even murder. When Mac shows up, he's ready to do anything to get Sunny back, not the least of which is to solve the crimes and save her life.

Download or read book Monte Carlo Simulation and Resampling Methods for Social Science written by Thomas M. Carsey and published by SAGE Publications. This book was released on 2013-08-05 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Download or read book A Ghost in Monte Carlo written by Barbara Cartland and published by Barbara Cartland EBooks ltd. This book was released on 2012-10-14 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eighteen-year-old Mistral is an innocent abroad in the sophisticated Côte D'Azur, where princes and millionaires mingle in the casinos and sumptuous hotels while others plot to relieve them of their riches. Accompanied only by her embittered and domineering Aunt Emilie and kindly servant Jeanne, Mistral appears dressed all in grey like a ghost in the salons and ballrooms of Monte Carlo and sets Society's tongues wagging. It's not long before her waif-like beauty has men falling at the feet of Madamoiselle Fântóme – gentlemen such as Sir Robert Stanford. But on her sister's bewildering but strict instructions, she must not converse with any but the Russian Prince Nikolai, who's also keen to woo her, as is an opulent Indian Rajah... Something about Mistral touches Sir Robert's heart – and he cannot understand why Mistral appears afraid to be with him. Yet both of them crave love. Only if Mistral's innocent eyes are finally opened to the truth – that Aunt Emilie's motives are borne not of concern for her niece but of pure evil and greed – will she find her heart's desire...

Download or read book Making Monte Carlo written by Mark Braude and published by Simon and Schuster. This book was released on 2017-04-25 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A rollicking narrative history of Jazz Age Monte Carlo, chronicling the city's rise from WWI's ashes to become one of the world's most storied, infamous playgrounds of the rich, only to be crushed under it's own weight ten years later"--Provided by publisher.

Download or read book Introducing Monte Carlo Methods with R written by Christian Robert and published by Springer Science & Business Media. This book was released on 2010 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison.

Download or read book Monte Carlo Methods written by Adrian Barbu and published by Springer Nature. This book was released on 2020-02-24 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book seeks to bridge the gap between statistics and computer science. It provides an overview of Monte Carlo methods, including Sequential Monte Carlo, Markov Chain Monte Carlo, Metropolis-Hastings, Gibbs Sampler, Cluster Sampling, Data Driven MCMC, Stochastic Gradient descent, Langevin Monte Carlo, Hamiltonian Monte Carlo, and energy landscape mapping. Due to its comprehensive nature, the book is suitable for developing and teaching graduate courses on Monte Carlo methods. To facilitate learning, each chapter includes several representative application examples from various fields. The book pursues two main goals: (1) It introduces researchers to applying Monte Carlo methods to broader problems in areas such as Computer Vision, Computer Graphics, Machine Learning, Robotics, Artificial Intelligence, etc.; and (2) it makes it easier for scientists and engineers working in these areas to employ Monte Carlo methods to enhance their research.

Download or read book Random Number Generation and Monte Carlo Methods written by James E. Gentle and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monte Carlo simulation has become one of the most important tools in all fields of science. This book surveys the basic techniques and principles of the subject, as well as general techniques useful in more complicated models and in novel settings. The emphasis throughout is on practical methods that work well in current computing environments.

Download or read book Monte Carlo Methods in Financial Engineering written by Paul Glasserman and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not." --Glyn Holton, Contingency Analysis

Download or read book Handbook of Monte Carlo Methods written by Dirk P. Kroese and published by John Wiley & Sons. This book was released on 2013-06-06 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applications More and more of today’s numerical problems found in engineering and finance are solved through Monte Carlo methods. The heightened popularity of these methods and their continuing development makes it important for researchers to have a comprehensive understanding of the Monte Carlo approach. Handbook of Monte Carlo Methods provides the theory, algorithms, and applications that helps provide a thorough understanding of the emerging dynamics of this rapidly-growing field. The authors begin with a discussion of fundamentals such as how to generate random numbers on a computer. Subsequent chapters discuss key Monte Carlo topics and methods, including: Random variable and stochastic process generation Markov chain Monte Carlo, featuring key algorithms such as the Metropolis-Hastings method, the Gibbs sampler, and hit-and-run Discrete-event simulation Techniques for the statistical analysis of simulation data including the delta method, steady-state estimation, and kernel density estimation Variance reduction, including importance sampling, latin hypercube sampling, and conditional Monte Carlo Estimation of derivatives and sensitivity analysis Advanced topics including cross-entropy, rare events, kernel density estimation, quasi Monte Carlo, particle systems, and randomized optimization The presented theoretical concepts are illustrated with worked examples that use MATLAB®, a related Web site houses the MATLAB® code, allowing readers to work hands-on with the material and also features the author's own lecture notes on Monte Carlo methods. Detailed appendices provide background material on probability theory, stochastic processes, and mathematical statistics as well as the key optimization concepts and techniques that are relevant to Monte Carlo simulation. Handbook of Monte Carlo Methods is an excellent reference for applied statisticians and practitioners working in the fields of engineering and finance who use or would like to learn how to use Monte Carlo in their research. It is also a suitable supplement for courses on Monte Carlo methods and computational statistics at the upper-undergraduate and graduate levels.

Download or read book Explorations in Monte Carlo Methods written by Ronald W. Shonkwiler and published by Springer Science & Business Media. This book was released on 2009-08-11 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems. Applications covered in this book include optimization, finance, statistical mechanics, birth and death processes, and gambling systems. Explorations in Monte Carlo Methods provides a hands-on approach to learning this subject. Each new idea is carefully motivated by a realistic problem, thus leading from questions to theory via examples and numerical simulations. Programming exercises are integrated throughout the text as the primary vehicle for learning the material. Each chapter ends with a large collection of problems illustrating and directing the material. This book is suitable as a textbook for students of engineering and the sciences, as well as mathematics.

Download or read book Monte Carlo Frameworks written by Daniel J. Duffy and published by John Wiley & Sons. This book was released on 2011-08-02 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is one of the first books that describe all the steps that are needed in order to analyze, design and implement Monte Carlo applications. It discusses the financial theory as well as the mathematical and numerical background that is needed to write flexible and efficient C++ code using state-of-the art design and system patterns, object-oriented and generic programming models in combination with standard libraries and tools. Includes a CD containing the source code for all examples. It is strongly advised that you experiment with the code by compiling it and extending it to suit your needs. Support is offered via a user forum on www.datasimfinancial.com where you can post queries and communicate with other purchasers of the book. This book is for those professionals who design and develop models in computational finance. This book assumes that you have a working knowledge of C ++.

Download or read book Not a Penny More Not a Penny Less written by Jeffrey Archer and published by St. Martin's Paperbacks. This book was released on 2004-05-16 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thrilling novel that launched #1 New York Times bestseller Jeffrey Archer's career, Not a Penny More, Not a Penny Less. THE SWINDLE IS INGENIOUS The conned: an Oxford don, a revered society physician, a chic French art dealer, and a charming English lord. They have one thing in common. Overnight, each novice investor lost his life's fortune to one man. The con: Harvey Metcalfe. A brilliant, self-made guru of deceit. A very dangerous individual. And now, a hunted man. SO IS THE REVENGE With nothing left to lose, four strangers are about to come together—each expert in their own field. Their plan: find Harvey, shadow him, trap him, and penny-for-penny, destroy him. From the luxurious casinos of Monte Carlo to the high-stakes windows at Ascot to the bustling streets of Wall Street to fashionable London galleries, their own ingenious game has begun. It's called revenge—and they were taught by a master.

Download or read book An Introduction to Sequential Monte Carlo written by Nicolas Chopin and published by Springer Nature. This book was released on 2020-10-01 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, machine learning, population ecology, quantitative finance, and robotics. The coverage is comprehensive, ranging from the underlying theory to computational implementation, methodology, and diverse applications in various areas of science. This is achieved by describing SMC algorithms as particular cases of a general framework, which involves concepts such as Feynman-Kac distributions, and tools such as importance sampling and resampling. This general framework is used consistently throughout the book. Extensive coverage is provided on sequential learning (filtering, smoothing) of state-space (hidden Markov) models, as this remains an important application of SMC methods. More recent applications, such as parameter estimation of these models (through e.g. particle Markov chain Monte Carlo techniques) and the simulation of challenging probability distributions (in e.g. Bayesian inference or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area. Each chapter includes a set of exercises for self-study, a comprehensive bibliography, and a “Python corner,” which discusses the practical implementation of the methods covered. In addition, the book comes with an open source Python library, which implements all the algorithms described in the book, and contains all the programs that were used to perform the numerical experiments.

Download or read book Exploring Monte Carlo Methods written by William L. Dunn and published by Elsevier. This book was released on 2022-06-07 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring Monte Carlo Methods, Second Edition provides a valuable introduction to the numerical methods that have come to be known as "Monte Carlo." This unique and trusted resource for course use, as well as researcher reference, offers accessible coverage, clear explanations and helpful examples throughout. Building from the basics, the text also includes applications in a variety of fields, such as physics, nuclear engineering, finance and investment, medical modeling and prediction, archaeology, geology and transportation planning. - Provides a comprehensive yet concise treatment of Monte Carlo methods - Uses the famous "Buffon's needle problem" as a unifying theme to illustrate the many aspects of Monte Carlo methods - Includes numerous exercises and useful appendices on: Certain mathematical functions, Bose Einstein functions, Fermi Dirac functions and Watson functions

Download or read book The Monte Carlo Methods in Atmospheric Optics written by G.I. Marchuk and published by Springer. This book was released on 2013-04-17 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is devoted to urgent questions of the theory and applications of the Monte Carlo method for solving problems of atmospheric optics and hydrooptics. The importance of these problems has grown because of the increas ing need to interpret optical observations, and to estimate radiative balance precisely for weather forecasting. Inhomogeneity and sphericity of the atmos phere, absorption in atmospheric layers, multiple scattering and polarization of light, all create difficulties in solving these problems by traditional methods of computational mathematics. Particular difficulty arises when one must solve nonstationary problems of the theory of transfer of narrow beams that are connected with the estimation of spatial location and time characteristics of the radiation field. The most universal method for solving those problems is the Monte Carlo method, which is a numerical simulation of the radiative-transfer process. This process can be regarded as a Markov chain of photon collisions in a medium, which result in scattering or absorption. The Monte Carlo tech nique consists in computational simulation of that chain and in constructing statistical estimates of the desired functionals. The authors of this book have contributed to the development of mathemati cal methods of simulation and to the interpretation of optical observations. A series of general method using Monte Carlo techniques has been developed. The present book includes theories and algorithms of simulation. Numerical results corroborate the possibilities and give an impressive prospect of the applications of Monte Carlo methods.

Download or read book In the Spirit of Monte Carlo written by Pamela Fiori and published by Editions Assouline. This book was released on 2014-10-06 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Symbolizing luxury and old-fashioned glamour, Monte Carlo is a glorious Eden, perfectly manicured and architecturally grand. From its ancient Phoenician origins to its burgeoning power as a global financial center, this gorgeous volume chronicles the Grimaldi dynasty, the artists and socialists who first put the Principality on the map and how Hollywood darling Grace Kelly attracted the celebrity spotlight, the vibrant arts and culture scene, legendary Grand Prix race, and the controversial metamorphosis of the cityscape"--Jacket.