Evolutionary Statistical Procedures, Roberto Baragona; Francesco Battaglia; Irene Poli
Автор: Drummond Название: Bayesian Evolutionary Analysis with BEAST ISBN: 1107019656 ISBN-13(EAN): 9781107019652 Издательство: Cambridge Academ Рейтинг: Цена: 8395.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive overview of Bayesian approaches to phylogenetics using Markov chain Monte Carlo (MCMC) methods, offering theoretical insight, pragmatic advice and tools to develop further models. This title is a one-stop reference to applying the latest phylogenetic models in BEAST 2, interpreting the analyses and extending these models further.
Автор: Boos Название: Essential Statistical Inference ISBN: 1461448174 ISBN-13(EAN): 9781461448174 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Поставка под заказ.
Описание: A superb resource on statistical inference for researchers or students, this book has R code throughout, including in sample problems, and an appendix of derived notation and formulae. It covers core topics as well as modern aspects such as M-estimation.
Автор: Sell George R., You Yuncheng Название: Dynamics of Evolutionary Equations ISBN: 0387983473 ISBN-13(EAN): 9780387983479 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The theory and applications of infinite dimensional dynamical systems have attracted the attention of scientists for quite some time. Dynamical issues arise in equations which attempt to model phenomena that change with time, and the infinite dimensional aspects occur when forces that describe the motion depend on spatial variables. This book may serve as an entree for scholars beginning their journey into the world of dynamical systems, especially infinite dimensional spaces. The main approach involves the theory of evolutionary equations. It begins with a brief essay on the evolution of evolutionary equations and introduces the origins of the basic elements of dynamical systems, flow and semiflow.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Plichta Название: Munros Statistical methods health care 6E ISBN: 1451187947 ISBN-13(EAN): 9781451187946 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 13556.00 р. Наличие на складе: Поставка под заказ.
Описание: This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most current and frequently used statistical methods in today's health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the concepts of this often intimidating area of study.
Автор: M. I. Vishik Название: Asymptotic Behaviour of Solutions of Evolutionary Equations ISBN: 0521420237 ISBN-13(EAN): 9780521420235 Издательство: Cambridge Academ Рейтинг: Цена: 15522.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The theme of this book is the investigation of globally asymptotic solutions of evolutionary equations. The lectures on which it is based were warmly received at the universities of Rome and Pavia, and at the Scuola Normale Superiore in Pisa. Here Professor Vishik has collated his lecture notes.
Автор: M. I. Vishik Название: Asymptotic Behaviour of Solutions of Evolutionary Equations ISBN: 052142237X ISBN-13(EAN): 9780521422376 Издательство: Cambridge Academ Рейтинг: Цена: 6811.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The theme of this book is the investigation of globally asymptotic solutions of evolutionary equations. The lectures on which it is based were warmly received at the universities of Rome and Pavia, and at the Scuola Normale Superiore in Pisa. Here Professor Vishik has collated his lecture notes.
Автор: Olague Название: Evolutionary Computer Vision ISBN: 3662436922 ISBN-13(EAN): 9783662436929 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached using the techniques of evolutionary computing. This methodology achieves excellent results for defining fitness functions and representations for problems by merging evolutionary computation with mathematical optimization to produce automatic creation of emerging visual behaviors.In the first part of the book the author surveys the literature in concise form, defines the relevant terminology, and offers historical and philosophical motivations for the key research problems in the field. For researchers from the computer vision community, he offers a simple introduction to the evolutionary computing paradigm. The second part of the book focuses on implementing evolutionary algorithms that solve given problems using working programs in the major fields of low-, intermediate- and high-level computer vision.This book will be of value to researchers, engineers, and students in the fields of computer vision, evolutionary computing, robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
