Monte Carlo Methods

Monte Carlo Methods PDF Author: Adrian Barbu
Publisher: Springer Nature
ISBN: 9811329710
Category : Mathematics
Languages : en
Pages : 433

Get Book Here

Book Description
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.

Monte Carlo Methods

Monte Carlo Methods PDF Author: Adrian Barbu
Publisher: Springer Nature
ISBN: 9811329710
Category : Mathematics
Languages : en
Pages : 433

Get Book Here

Book Description
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.

Information Processing in Medical Imaging

Information Processing in Medical Imaging PDF Author: Chris Taylor
Publisher: Springer Science & Business Media
ISBN: 3540405607
Category : Computers
Languages : en
Pages : 714

Get Book Here

Book Description
This book constitutes the refeered proceedings of the 18th Interational Conference on Information Processing in Medical Imaging, IPMI 2003, held in UK, in July 2003. The 57 revised full papers presented were carefully reviewed and selected from submissions. The papers are organized in topical sections shape modeling, shape analysis, segmentation, color, performance characterization, registration and modeling similarity, registration and modeling deformation, cardiac motion, fMRI analysis, and diffusion imaging and tractography.

Monte Carlo Simulation and Resampling Methods for Social Science

Monte Carlo Simulation and Resampling Methods for Social Science PDF Author: Thomas M. Carsey
Publisher: SAGE Publications
ISBN: 1483324923
Category : Social Science
Languages : en
Pages : 304

Get Book Here

Book Description
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.

The Monte Carlo Shark

The Monte Carlo Shark PDF Author: Camilla Stevens
Publisher:
ISBN:
Category :
Languages : en
Pages : 392

Get Book Here

Book Description
I show no mercy.She just became my prey.MAGNUS REINHARDTPowerful. Cunning. Ruthless. Sinfully rich...and as predatory as a shark.He holds the key to saving my brother's life and mine.And I have forty days to obtain it. I'm in Monte Carlo to get as close to the man as I can.But in this world, he's the one holding all the cards, and now all forty days are his. As a successful attorney, I thought my skills of negotiation would be all the ammunition I need.I quickly learn that seduction is my greatest weapon.But seduction is a dangerous game with a billionaire who has it all-including a lethal reputation.I thought I could remain strong while playing this game of ours, but now I'm left wondering...Who's the predator and who's the prey? This is a BWWM Stand Alone Romance in the International Legacies Romance series. WARNING: Due to adult and slightly dark themes, for 18+ only. Other Titles in the International Legacies Romance Series: The Italian HeirThe French ThiefThe Nordic LightningHer Icelandic Protector Her Russian Defender The Luxembourg Betrayal

A Guide to Monte Carlo Simulations in Statistical Physics

A Guide to Monte Carlo Simulations in Statistical Physics PDF Author: David P. Landau
Publisher: Cambridge University Press
ISBN: 9780521842389
Category : Computers
Languages : en
Pages : 456

Get Book Here

Book Description
This updated edition deals with the Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. It contains many applications, examples, and exercises to help the reader. It is an excellent guide for graduate students and researchers who use computer simulations in their research.

Monte Carlo Statistical Methods

Monte Carlo Statistical Methods PDF Author: Christian Robert
Publisher: Springer Science & Business Media
ISBN: 1475741456
Category : Mathematics
Languages : en
Pages : 670

Get Book Here

Book Description
We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments.

The Monte Carlo Methods in Atmospheric Optics

The Monte Carlo Methods in Atmospheric Optics PDF Author: G.I. Marchuk
Publisher: Springer
ISBN: 3540352376
Category : Science
Languages : en
Pages : 218

Get Book Here

Book Description
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.

Monte Carlo Simulation

Monte Carlo Simulation PDF Author: Christopher Z. Mooney
Publisher: SAGE
ISBN: 9780803959439
Category : Mathematics
Languages : en
Pages : 116

Get Book Here

Book Description
Aimed at researchers across the social sciences, this book explains the logic behind the Monte Carlo simulation method and demonstrates its uses for social and behavioural research.

Markov Chains

Markov Chains PDF Author: Pierre Bremaud
Publisher: Springer Science & Business Media
ISBN: 1475731248
Category : Mathematics
Languages : en
Pages : 456

Get Book Here

Book Description
Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest.

Making Monte Carlo

Making Monte Carlo PDF Author: Mark Braude
Publisher: Simon and Schuster
ISBN: 147670970X
Category : Biography & Autobiography
Languages : en
Pages : 304

Get Book Here

Book Description
"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.