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Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems, 


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Название:  Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems
ISBN: 9789810248680
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 9810248687
Обложка/Формат: Hardback
Страницы: 460
Вес: 0.72 кг.
Дата издания: 27.02.2002
Серия: Series on concrete & applicable mathematics
Язык: English
Размер: 222 x 152 x 29
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Поставляется из: Англии


      Новое издание
Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems (Second Edition)

Автор: Tan Wai-Yuan
Название: Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems (Second Edition)
ISBN: 9814390941 ISBN-13(EAN): 9789814390941
Издательство: World Scientific Publishing
Цена: 26136.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: Presents a systematic treatment of Markov chains, diffusion processes and state space models, as well as alternative approaches to Markov chains through stochastic difference equations and stochastic differential equations. This title illustrates how these processes and approaches are applied to many problems in genetics, carcinogenesis, and more.


Analytically Tractable Stochastic Stock Price Models

Автор: Gulisashvili
Название: Analytically Tractable Stochastic Stock Price Models
ISBN: 3642312136 ISBN-13(EAN): 9783642312137
Издательство: Springer
Цена: 4866.00 р. 6951.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: For instance, in the Hull-White model the volatility process is a geometric Brownian motion, the Stein-Stein model uses an Ornstein-Uhlenbeck process as the stochastic volatility, and in the Heston model a Cox-Ingersoll-Ross process governs the behavior of the volatility.

Multivariate Biomarker Discovery: Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data

Автор: Darius M. Dziuda
Название: Multivariate Biomarker Discovery: Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data
ISBN: 1316518701 ISBN-13(EAN): 9781316518700
Издательство: Cambridge Academ
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Цена: 9502.00 р.
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Описание: Multivariate biomarker discovery is increasingly important in the realm of biomedical research, and is poised to become a crucial facet of personalized medicine. This will prompt the demand for a myriad of novel biomarkers representing distinct 'omic' biosignatures, allowing selection and tailoring treatments to the various individual characteristics of a particular patient. This concise and self-contained book covers all aspects of predictive modeling for biomarker discovery based on high-dimensional data, as well as modern data science methods for identification of parsimonious and robust multivariate biomarkers for medical diagnosis, prognosis, and personalized medicine. It provides a detailed description of state-of-the-art methods for parallel multivariate feature selection and supervised learning algorithms for regression and classification, as well as methods for proper validation of multivariate biomarkers and predictive models implementing them. This is an invaluable resource for scientists and students interested in bioinformatics, data science, and related areas.

Fundamentals of the Theory of Structured Dependence between Stochastic Processes: Consistencies and Copulae

Автор: Tomasz R. Bielecki, Jacek Jakubowski, Mariusz Niew?glowski
Название: Fundamentals of the Theory of Structured Dependence between Stochastic Processes: Consistencies and Copulae
ISBN: 1107154251 ISBN-13(EAN): 9781107154254
Издательство: Cambridge Academ
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Цена: 18058.00 р.
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Описание: The theory of structured dependence has many real-life applications in areas such as finance, insurance, seismology, neuroscience, and genetics. The first book to be devoted to this research area, this is a useful tool for researchers and practitioners in the field, as well as graduate students.

Stationary stochastic models: an introduction

Автор: Gatto, Riccardo (univ Of Bern, Switzerland)
Название: Stationary stochastic models: an introduction
ISBN: 9811251835 ISBN-13(EAN): 9789811251832
Издательство: World Scientific Publishing
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Цена: 19800.00 р.
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Описание: This volume provides a unified mathematical introduction to stationary time series models and to continuous time stationary stochastic processes. The analysis of these stationary models is carried out in time domain and in frequency domain. It begins with a practical discussion on stationarity, by which practical methods for obtaining stationary data are described. The presented topics are illustrated by numerous examples. Readers will find the following covered in a comprehensive manner:At the end, some selected topics such as stationary random fields, simulation of Gaussian stationary processes, time series for planar directions, large deviations approximations and results of information theory are presented. A detailed appendix containing complementary materials will assist the reader with many technical aspects of the book.

Stochastic Models in Reliability

Автор: Aven Terje, Jensen Uwe
Название: Stochastic Models in Reliability
ISBN: 1489998551 ISBN-13(EAN): 9781489998552
Издательство: Springer
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Цена: 12196.00 р.
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Описание: This book on mathematical, statistical and stochastic models in reliability will help analysts formulate general failure models, establish formulae for computing performance measures, and determine how to identify optimal replacement policies.

Stochastic Financial Models

Автор: Kennedy, Douglas
Название: Stochastic Financial Models
ISBN: 1138381454 ISBN-13(EAN): 9781138381452
Издательство: Taylor&Francis
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Цена: 10717.00 р.
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Описание:

Filling the void between surveys of the field with relatively light mathematical content and books with a rigorous, formal approach to stochastic integration and probabilistic ideas, Stochastic Financial Models provides a sound introduction to mathematical finance. The author takes a classical applied mathematical approach, focusing on calculations rather than seeking the greatest generality.

Developed from the esteemed author's advanced undergraduate and graduate courses at the University of Cambridge, the text begins with the classical topics of utility and the mean-variance approach to portfolio choice. The remainder of the book deals with derivative pricing. The author fully explains the binomial model since it is central to understanding the pricing of derivatives by self-financing hedging portfolios. He then discusses the general discrete-time model, Brownian motion and the Black-Scholes model. The book concludes with a look at various interest-rate models. Concepts from measure-theoretic probability and solutions to the end-of-chapter exercises are provided in the appendices.

By exploring the important and exciting application area of mathematical finance, this text encourages students to learn more about probability, martingales and stochastic integration. It shows how mathematical concepts, such as the Black-Scholes and Gaussian random-field models, are used in financial situations.

Random Fields and Stochastic Lagrangian Models: Analysis and Applications in Turbulence and Porous Media

Автор: Karl K. Sabelfeld, Nikolai A. Simonov
Название: Random Fields and Stochastic Lagrangian Models: Analysis and Applications in Turbulence and Porous Media
ISBN: 3110296640 ISBN-13(EAN): 9783110296648
Издательство: Walter de Gruyter
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Цена: 27884.00 р.
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Описание: Probabilistic approach and stochastic simulation become more and more popular in all branches of science and technology, especially in problems where the data are randomly fluctuating, or they are highly irregular in deterministic sense.

Stochastic models for time series

Автор: Doukhan, Paul
Название: Stochastic models for time series
ISBN: 3319769375 ISBN-13(EAN): 9783319769370
Издательство: Springer
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Цена: 10366.00 р.
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Описание: This book presents essential tools for modelling non-linear time series.

Stochastic Linear Programming

Автор: Peter Kall; J?nos Mayer
Название: Stochastic Linear Programming
ISBN: 1461427452 ISBN-13(EAN): 9781461427452
Издательство: Springer
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Цена: 6097.00 р.
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Описание: Authored by two of the field`s most prominent researchers, this new edition has been comprehensively updated, with new material on contemporary models and methods including stochastic DEA models, material on Sharpe-ratio, and asset liability management.

SDMA for Multipath Wireless Channels

Автор: Igor P. Kovalyov
Название: SDMA for Multipath Wireless Channels
ISBN: 3642623301 ISBN-13(EAN): 9783642623301
Издательство: Springer
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Цена: 12196.00 р.
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Описание: Space Division Multiple Access is one of the most promising methods in solving the capacity problem of wireless communication systems. This book defines formulae that can be used to evaluate the limit capacity of multipath wireless channels in a particular receiving region with size limitation.

Stochastic Models in Geosystems

Автор: Stanislav A. Molchanov; Wojbor A. Woyczynski
Название: Stochastic Models in Geosystems
ISBN: 1461385024 ISBN-13(EAN): 9781461385028
Издательство: Springer
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Цена: 14635.00 р.
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Описание: This IMA Volume in Mathematics and its Applications STOCHASTIC MODELS IN GEOSYSTEMS is based on the proceedings of a workshop with the same title and was an integral part of the 1993-94 IMA program on "Emerging Applications of Probability."

Stability Problems for Stochastic Models

Автор: Vladimir V. Kalashnikov; Vladimir M. Zolotarev
Название: Stability Problems for Stochastic Models
ISBN: 3540519483 ISBN-13(EAN): 9783540519485
Издательство: Springer
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Цена: 4263.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Traditionally the Stability seminar, organized in Moscow but held in different locations, has dealt with a spectrum of topics centering around characterization problems and their stability, limit theorems, probability metrics and theoretical robustness. This title focuses on these main topics in a series of research articles.


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