Posted by **interes** at Nov. 5, 2014

English | 2012 | ISBN: 9814350672 | 696 pages | PDF | 7,7 MB

The scope of this book is the field of evolutionary genetics. The book contains new methods for simulating evolution at the genomic level. It sets out applications using up to date Monte Carlo simulation methods applied in classical population genetics, and sets out new fields of quantifying mutation and selection at the Mendelian level.

Posted by **roxul** at July 8, 2017

2010 | ISBN: 3642051553 | 397 pages | PDF | 3 MB

Posted by **kalyan1232008** at March 27, 2009

Springer; 1 edition | English | ISBN-792384393 | November 30, 1999 | 360 pages | PDF | 1MB

Applied Probability and Stochastic Processes is an edited work written in honor of Julien Keilson. This volume has attracted a host of scholars in applied probability, who have made major contributions to the field, and have written survey and state-of-the-art papers on a variety of applied probability topics, including, but not limited to: perturbation method, time reversible Markov chains, Poisson processes, Brownian techniques, Bayesian probability, optimal quality control, Markov decision processes, random matrices, queueing theory and a variety of applications of stochastic processes. The book has a mixture of theoretical, algorithmic, and application chapters providing examples of the cutting-edge work that Professor Keilson has done or influenced over the course of his highly-productive and energetic career in applied probability and stochastic processes. The book will be of interest to academic researchers, students, and industrial practitioners who seek to use the mathematics of applied probability in solving problems in modern society.

Posted by **AvaxGenius** at July 23, 2017

English | EPUB | 2016 | 275 Pages | ISBN : 331945613X | 2.5 MB

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader’s understanding.

Posted by **AvaxGenius** at July 23, 2017

English | PDF | 2006 | 226 Pages | ISBN : 8185931690 | 20.86 MB

In terms of pre-requisites, the book does not demand much. Although an exposure to elementary Probability Theory would help, it is by no means es- sential. Chapter 0 is meant to supply the necessary background in Probability. The only real pre-requisite is an exposure to undergraduate Linear Algebra and Calculus, and of course, the necessary motivation. We would like to highlight one interesting feature of the present book.

Posted by **roxul** at July 8, 2017

2010 | ISBN-10: 1441971645 | 453 pages | PDF | 3 MB

Posted by **roxul** at July 8, 2017

2006 | ISBN-10: 0387284540 | 363 pages | PDF | 12 MB

Posted by **roxul** at July 8, 2017

2009 | ISBN-10: 1489983317 | 322 pages | PDF | 1 MB

Posted by **interes** at June 9, 2017

English | 2007 | ISBN: 0821840851 | 126 pages | PDF | 25 MB

Posted by **roxul** at May 27, 2017

2012 | ISBN: 1118294408 | 614 pages | PDF | 11 MB