Search Results for message-from-monte-carlo

Author: Leigh J. Fitzgibbon


ISBN: OCLC:225191470

Category: Algorithms

Page: 194

View: 616


Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically.

Author: Nick T. Thomopoulos

Publisher: Springer Science & Business Media

ISBN: 9781461460220

Category: Mathematics

Page: 174

View: 431

Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically. As a result, readers are given a system of interest and constructs using computer code, as well as algorithmic models to emulate how the system works internally. After the models are run several times, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. This book features 11 comprehensive chapters, and discusses such key topics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrate useful real world applications. The text also contains an easy to read presentation with minimal use of difficult mathematical concepts. Very little has been published in the area of computer Monte Carlo simulation methods, and this book will appeal to students and researchers in the fields of Mathematics and Statistics.
2012-12-19 By Nick T. Thomopoulos

SOLUTION OF ANOTHER MODEL USING THE MONTE CARLO METHOD The preceding process was applied to another jamming - communication ... Model B The configuration in this model consists of a transmitter sending out messages to a receiver with ...

Author: Rocco F. Iuorno


ISBN: CORNELL:31924004070268

Category: Monte Carlo method

Page: 50

View: 593

1969 By Rocco F. Iuorno

Author: Ian Noel Peter Davidson


ISBN: OCLC:223059041

Category: Induction (Mathematics)

Page: 229

View: 729


Message from Monte Carlo: A Framework for Minimum Message Length Inference using Markov Chain Monte Carlo Methods. PhD thesis, School of Computer Science and Software Engineering, Clayton School of I.T., Monash University, Clayton, ...


Publisher: Elsevier

ISBN: 0080930964

Category: Philosophy

Page: 1260

View: 168

Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy these shortcomings. It provides state-of-the-art research in the area of philosophy of statistics by encouraging numerous experts to communicate with one another without feeling “restricted by their disciplines or thinking “piecemeal in their treatment of issues. A second goal of this book is to present work in the field without bias toward any particular statistical paradigm. Broadly speaking, the essays in this Handbook are concerned with problems of induction, statistics and probability. For centuries, foundational problems like induction have been among philosophers’ favorite topics; recently, however, non-philosophers have increasingly taken a keen interest in these issues. This volume accordingly contains papers by both philosophers and non-philosophers, including scholars from nine academic disciplines. Provides a bridge between philosophy and current scientific findings Covers theory and applications Encourages multi-disciplinary dialogue
2011-05-31 By

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.

Author: Ronald W. Shonkwiler

Publisher: Springer Science & Business Media

ISBN: 9780387878362

Category: Mathematics

Page: 243

View: 348

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.
2009-08-21 By Ronald W. Shonkwiler

The Monte Carlo probability value (“pvalue”) is obtained by dividing the final value of the counter (“kount”) by the number ... agreement and a Monte Carlo probability value # #POST A MESSAGE TO OUTPUT cat("R Script 10.17: A Monte Carlo ...

Author: Kenneth J. Berry

Publisher: Springer Nature

ISBN: 9783030743611

Category: Mathematics

Page: 660

View: 481

This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research. Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.
2021-09-27 By Kenneth J. Berry

Secure Message Transmission in Asynchronous Directed Graphs Shashank Agrawal, Abhinav Mehta, and Kannan Srinathan Center ... This variant can be of two kinds: Monte Carlo - where R may output an incorrect message with small probability; ...

Author: Daniel J. Bernstein

Publisher: Springer Science & Business Media

ISBN: 9783642255779

Category: Computers

Page: 401

View: 251

This book constitutes the refereed proceedings of the 12th International Conference on Cryptology in India, INDOCRYPT 2011, held in Chennai, India, in December 2011. The 22 revised full papers presented together with the abstracts of 3 invited talks and 3 tutorials were carefully reviewed and selected from 127 submissions. The papers are organized in topical sections on side-channel attacks, secret-key cryptography, hash functions, pairings, and protocols.
2011-11-21 By Daniel J. Bernstein

with Monte Carlo method is extended to a sequential process to perform the inference of graphical model. 4.2 Message Propagation Using particle sets to perform belief propagation concentrates on how to approximate the integral with ...

Author: De-Shuang Huang

Publisher: Springer Science & Business Media

ISBN: 9783540282266

Category: Computers

Page: 1101

View: 916

The two-volume set LNCS 3644 and LNCS 3645 constitute the refereed proceedings of the International Conference on Intelligent Computing, ICIC 2005, held in Hefei, China, in August 2005. The program committee selected 215 carefully revised full papers for presentation in two volumes from over 2000 submissions, based on rigorous peer reviews. The first volume includes all the contributions related with perceptual and pattern recognition, informatics theories and applications computational neuroscience and bioscience, models and methods, and learning systems. The second volume collects the papers related with genomics and proteomics, adaptation and decision making, applications and hardware, and other applications.
2005-08-11 By De-Shuang Huang

The size of messages of Algorithm Spanning-Tree-whp (resp. ... This section presents a message terminating Monte Carlo algorithm, denoted Algorithm Counting-Ring-whp, for computing the size of an anonymous ring without any initial ...

Author: Thomas Moscibroda

Publisher: Springer

ISBN: 9783319035789

Category: Computers

Page: 362

View: 707

This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2013, held in Ischia, Italy, in July 2013. The 28 revised full papers presented were carefully reviewed and selected from 67 submissions. SIROCCO is devoted to the study of communication and knowledge in distributed systems. Special emphasis is given to innovative approaches and fundamental understanding, in addition to efforts to optimize current designs. The typical areas include distributed computing, communication networks, game theory, parallel computing, social networks, mobile computing (including autonomous robots), peer to peer systems, communication complexity, fault tolerant graph theories and randomized/probabilistic issues in networks.
2013-11-09 By Thomas Moscibroda