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Microsurveys In Discrete Probability


Microsurveys In Discrete Probability
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Microsurveys In Discrete Probability


Microsurveys In Discrete Probability
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Author : David J. Aldous
language : en
Publisher: American Mathematical Soc.
Release Date : 1998-01-01

Microsurveys In Discrete Probability written by David J. Aldous and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-01 with Mathematics categories.


This book contains eleven articles surveying emerging topics in discrete probability. The papers are based on talks given by experts at the DIMACS "Microsurveys in Discrete Probability" workshop held at the Institute for Advanced Study, Princeton, NJ, in 1997. This compilation of current research in discrete probability provides a unique overview that is not available elsewhere in book or survey form. Topics covered in the volume include: Markov chains (pefect sampling, coupling from the past, mixing times), random trees (spanning trees on infinite graphs, enumeration of trees and forests, tree-valued Markov chains), distributional estimates (method of bounded differences, Stein-Chen method for normal approximation), dynamical percolation, Poisson processes, and reconstructing random walk from scenery.



Microsurveys In Discrete Probability


Microsurveys In Discrete Probability
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Author : R. Arratia
language : en
Publisher:
Release Date : 1998

Microsurveys In Discrete Probability written by R. Arratia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Electronic books categories.


This book contains eleven articles surveying emerging topics in discrete probability. The papers are based on talks given by experts at the DIMACS "Microsurveys in Discrete Probability" workshop held at the Institute for Advanced Study, Princeton, NJ. This compilation of current research in discrete probability provides a unique overview that is not available elsewhere in book or survey form. Topics covered in the volume include: Markov chains (perfect sampling, coupling from the past, mixing times), random trees (spanning trees on infinite graphs, enumeration of trees and forests, tree-valued.



Markov Chain Monte Carlo


Markov Chain Monte Carlo
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Author : W. S. Kendall
language : en
Publisher: World Scientific
Release Date : 2005

Markov Chain Monte Carlo written by W. S. Kendall and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematics categories.


Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization. This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts. The essays derive from tutorial lectures at an interdisciplinary program at the Institute for Mathematical Sciences, Singapore, which exploited the exciting ways in which MCMC spreads across different disciplines.



Lectures On Probability Theory And Statistics


Lectures On Probability Theory And Statistics
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Author : Wendelin Werner
language : en
Publisher: Springer Science & Business Media
Release Date :

Lectures On Probability Theory And Statistics written by Wendelin Werner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Lectures On Probability Theory And Statistics


Lectures On Probability Theory And Statistics
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Author : Boris Tsirelson
language : en
Publisher: Springer
Release Date : 2004-03-10

Lectures On Probability Theory And Statistics written by Boris Tsirelson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-10 with Mathematics categories.


This is yet another indispensable volume for all probabilists and collectors of the Saint-Flour series, and is also of great interest for mathematical physicists. It contains two of the three lecture courses given at the 32nd Probability Summer School in Saint-Flour (July 7-24, 2002). Tsirelson's lectures introduce the notion of nonclassical noise produced by very nonlinear functions of many independent random variables, for instance singular stochastic flows or oriented percolation. Werner's contribution gives a survey of results on conformal invariance, scaling limits and properties of some two-dimensional random curves. It provides a definition and properties of the Schramm-Loewner evolutions, computations (probabilities, critical exponents), the relation with critical exponents of planar Brownian motions, planar self-avoiding walks, critical percolation, loop-erased random walks and uniform spanning trees.



The Random Projection Method


The Random Projection Method
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Author : Santosh S. Vempala
language : en
Publisher: American Mathematical Soc.
Release Date : 2005-02-24

The Random Projection Method written by Santosh S. Vempala and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-24 with Mathematics categories.


Random projection is a simple geometric technique for reducing the dimensionality of a set of points in Euclidean space while preserving pairwise distances approximately. The technique plays a key role in several breakthrough developments in the field of algorithms. In other cases, it provides elegant alternative proofs. The book begins with an elementary description of the technique and its basic properties. Then it develops the method in the context of applications, which are divided into three groups. The first group consists of combinatorial optimization problems such as maxcut, graph coloring, minimum multicut, graph bandwidth and VLSI layout. Presented in this context is the theory of Euclidean embeddings of graphs. The next group is machine learning problems, specifically, learning intersections of halfspaces and learning large margin hypotheses. The projection method is further refined for the latter application. The last set consists of problems inspired by information retrieval, namely, nearest neighbor search, geometric clustering and efficient low-rank approximation. Motivated by the first two applications, an extension of random projection to the hypercube is developed here. Throughout the book, random projection is used as a way to understand, simplify and connect progress on these important and seemingly unrelated problems. The book is suitable for graduate students and research mathematicians interested in computational geometry.



Automatic Nonuniform Random Variate Generation


Automatic Nonuniform Random Variate Generation
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Author : Wolfgang Hörmann
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Automatic Nonuniform Random Variate Generation written by Wolfgang Hörmann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Mathematics categories.


Non-uniform random variate generation is an established research area in the intersection of mathematics, statistics and computer science. Although random variate generation with popular standard distributions have become part of every course on discrete event simulation and on Monte Carlo methods, the recent concept of universal (also called automatic or black-box) random variate generation can only be found dispersed in literature. This new concept has great practical advantages that are little known to most simulation practitioners. Being unique in its overall organization the book covers not only the mathematical and statistical theory, but also deals with the implementation of such methods. All algorithms introduced in the book are designed for practical use in simulation and have been coded and made available by the authors. Examples of possible applications of the presented algorithms (including option pricing, VaR and Bayesian statistics) are presented at the end of the book.



Logarithmic Combinatorial Structures


Logarithmic Combinatorial Structures
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Author : Richard Arratia
language : en
Publisher: European Mathematical Society
Release Date : 2003

Logarithmic Combinatorial Structures written by Richard Arratia and has been published by European Mathematical Society this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.


This book explains similarities in asymptotic behavior as the result of two basic properties shared by the structures: the conditioning relation and the logarithmic condition. The discussion is conducted in the language of probability, enabling the theory to be developed under rather general and explicit conditions; for the finer conclusions, Stein's method emerges as the key ingredient.



Visions In Mathematics


Visions In Mathematics
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Author : Noga Alon
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-04-22

Visions In Mathematics written by Noga Alon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-22 with Mathematics categories.


"Visions in Mathematics - Towards 2000" was one of the most remarkable mathematical meetings in recent years. It was held in Tel Aviv from August 25th to September 3rd, 1999, and united some of the leading mathematicians worldwide. The goals of the conference were to discuss the importance, the methods, the past and the future of mathematics as we enter the 21st century and to consider the connection between mathematics and related areas. The aims of the conference are reflected in the present set of survey articles, documenting the state of art and future prospects in many branches of mathematics of current interest. This is the second part of a two-volume set that will serve any research mathematician or advanced student as an overview and guideline through the multifaceted body of mathematical research in the present and near future.



Approximation Randomization And Combinatorial Optimization Algorithms And Techniques


Approximation Randomization And Combinatorial Optimization Algorithms And Techniques
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Author : Chandra Chekuri
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-08-08

Approximation Randomization And Combinatorial Optimization Algorithms And Techniques written by Chandra Chekuri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-08 with Computers categories.


This book constitutes the joint refereed proceedings of the 8th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2005 and the 9th International Workshop on Randomization and Computation, RANDOM 2005, held in Berkeley, CA, USA in August 2005. The volume contains 41 carefully reviewed papers, selected by the two program committees from a total of 101 submissions. Among the issues addressed are design and analysis of approximation algorithms, hardness of approximation, small space and data streaming algorithms, sub-linear time algorithms, embeddings and metric space methods, mathematical programming methods, coloring and partitioning, cuts and connectivity, geometric problems, game theory and applications, network design and routing, packing and covering, scheduling, design and analysis of randomized algorithms, randomized complexity theory, pseudorandomness and derandomization, random combinatorial structures, random walks/Markov chains, expander graphs and randomness extractors, probabilistic proof systems, random projections and embeddings, error-correcting codes, average-case analysis, property testing, computational learning theory, and other applications of approximation and randomness.