Combinatorial Methods In The Theory Of Stochastic Processes
Download Combinatorial Methods In The Theory Of Stochastic Processes full books in PDF, epub, and Kindle. Read online free Combinatorial Methods In The Theory Of Stochastic Processes ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Combinatorial Methods in the Theory of Stochastic Processes
Author | : L. Takacs |
Publsiher | : John Wiley & Sons |
Total Pages | : 292 |
Release | : 1967-01-15 |
Genre | : Mathematics |
ISBN | : MINN:319510004731460 |
Download Combinatorial Methods in the Theory of Stochastic Processes Book in PDF, Epub and Kindle
Combinatorial methods in the theory of stochastic processes
Author | : Lajos Takács |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 1977 |
Genre | : Electronic Book |
ISBN | : OCLC:1074141685 |
Download Combinatorial methods in the theory of stochastic processes Book in PDF, Epub and Kindle
Stochastic Processes Theory and Methods
Author | : D N Shanbhag,Calyampudi Radhakrishna Rao |
Publsiher | : Gulf Professional Publishing |
Total Pages | : 990 |
Release | : 2001 |
Genre | : Mathematics |
ISBN | : 0444500146 |
Download Stochastic Processes Theory and Methods Book in PDF, Epub and Kindle
This volume in the series contains chapters on areas such as pareto processes, branching processes, inference in stochastic processes, Poisson approximation, Levy processes, and iterated random maps and some classes of Markov processes. Other chapters cover random walk and fluctuation theory, a semigroup representation and asymptomatic behavior of certain statistics of the Fisher-Wright-Moran coalescent, continuous-time ARMA processes, record sequence and their applications, stochastic networks with product form equilibrium, and stochastic processes in insurance and finance. Other subjects include renewal theory, stochastic processes in reliability, supports of stochastic processes of multiplicity one, Markov chains, diffusion processes, and Ito's stochastic calculus and its applications. c. Book News Inc.
Combinatorial Stochastic Processes
Author | : Jim Pitman |
Publsiher | : Springer Science & Business Media |
Total Pages | : 257 |
Release | : 2006-05-11 |
Genre | : Mathematics |
ISBN | : 9783540309901 |
Download Combinatorial Stochastic Processes Book in PDF, Epub and Kindle
The purpose of this text is to bring graduate students specializing in probability theory to current research topics at the interface of combinatorics and stochastic processes. There is particular focus on the theory of random combinatorial structures such as partitions, permutations, trees, forests, and mappings, and connections between the asymptotic theory of enumeration of such structures and the theory of stochastic processes like Brownian motion and Poisson processes.
Combinatorial Methods in Density Estimation
Author | : Luc Devroye,Gabor Lugosi |
Publsiher | : Springer Science & Business Media |
Total Pages | : 219 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 9781461301257 |
Download Combinatorial Methods in Density Estimation Book in PDF, Epub and Kindle
Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths. This book is the first to explore a new paradigm for the data-based or automatic selection of the free parameters of density estimates in general so that the expected error is within a given constant multiple of the best possible error. The paradigm can be used in nearly all density estimates and for most model selection problems, both parametric and nonparametric.
Combinatorial Stochastic Processes
Author | : Jim Pitman |
Publsiher | : Springer |
Total Pages | : 260 |
Release | : 2006-05-11 |
Genre | : Mathematics |
ISBN | : 354030990X |
Download Combinatorial Stochastic Processes Book in PDF, Epub and Kindle
The purpose of this text is to bring graduate students specializing in probability theory to current research topics at the interface of combinatorics and stochastic processes. There is particular focus on the theory of random combinatorial structures such as partitions, permutations, trees, forests, and mappings, and connections between the asymptotic theory of enumeration of such structures and the theory of stochastic processes like Brownian motion and Poisson processes.
Random Trees
Author | : Michael Drmota |
Publsiher | : Springer Science & Business Media |
Total Pages | : 466 |
Release | : 2009-04-16 |
Genre | : Mathematics |
ISBN | : 9783211753576 |
Download Random Trees Book in PDF, Epub and Kindle
The aim of this book is to provide a thorough introduction to various aspects of trees in random settings and a systematic treatment of the mathematical analysis techniques involved. It should serve as a reference book as well as a basis for future research.
Combinatorial Methods in Discrete Distributions
Author | : Charalambos A. Charalambides |
Publsiher | : John Wiley & Sons |
Total Pages | : 440 |
Release | : 2005-06-24 |
Genre | : Mathematics |
ISBN | : 9780471733171 |
Download Combinatorial Methods in Discrete Distributions Book in PDF, Epub and Kindle
A unique approach illustrating discrete distribution theory through combinatorial methods This book provides a unique approach by presenting combinatorial methods in tandem with discrete distribution theory. This method, particular to discreteness, allows readers to gain a deeper understanding of theory by using applications to solve problems. The author makes extensive use of the reduction approach to conditional distributions of independent random occupancy numbers, and provides excellent studies of occupancy and sequential occupancy distributions, convolutions of truncated discrete distributions, and compound and mixture distributions. Combinatorial Methods in Discrete Distributions begins with a brief presentation of set theory followed by basic counting principles. Fundamental principles of combinatorics, finite differences, and discrete probability are included to give readers the necessary foundation to the topics presented in the text. A thorough examination of the field is provided and features: Stirling numbers and generalized factorial coefficients Occupancy and sequential occupancy distributions n-fold convolutions of truncated distributions Compound and mixture distributions Thoroughly worked examples aid readers in understanding complex theory and discovering how theory can be applied to solve practical problems. An appendix with hints and answers to the exercises helps readers work through the more complex sections. Reference notes are provided at the end of each chapter, and an extensive bibliography offers readers a resource for additional information on specialized topics.