Stochastic Models in Geosystems, Stanislav A. Molchanov; Wojbor A. Woyczynski
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.
Автор: V.V. Kalashnikov; V.M. Zolotarev Название: Stability Problems for Stochastic Models ISBN: 3540122788 ISBN-13(EAN): 9783540122784 Издательство: Springer Рейтинг: Цена: 4263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first two chapters are devoted to the basic theory of nonlinear functions of stationary Gaussian processes, Hermite polynomials, cumulants and higher order spectra, multiple Wiener-Ito integrals and finally chaotic Wiener-Ito spectral representation of subordinated processes.
Автор: Jan Grandell Название: Stochastic Models of Air Pollutant Concentration ISBN: 0387961976 ISBN-13(EAN): 9780387961972 Издательство: Springer Рейтинг: Цена: 10610.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In order to illustrate the importance of taking the variation into account we considered a simple model - here called the Markov model - for the precipitation intensity and computed the distribution of the residence time of an aerosol particle.
Автор: Ansgar Steland; Ewaryst Rafaj?owicz; Krzysztof Sza Название: Stochastic Models, Statistics and Their Applications ISBN: 3319366181 ISBN-13(EAN): 9783319366180 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering.
Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few.
This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.
Автор: Priscilla E. Greenwood; Lawrence M. Ward Название: Stochastic Neuron Models ISBN: 3319269097 ISBN-13(EAN): 9783319269092 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons.
Автор: Ansgar Steland; Ewaryst Rafaj?owicz; Krzysztof Sza Название: Stochastic Models, Statistics and Their Applications ISBN: 3319138804 ISBN-13(EAN): 9783319138800 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preliminary: Part I: Stochastic Models.- Part II: Statistics.- Part III: Applications.
Автор: Guy Latouche; Vaidyanathan Ramaswami; Jay Sethuram Название: Matrix-Analytic Methods in Stochastic Models ISBN: 1489994246 ISBN-13(EAN): 9781489994240 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Factorization properties for a MAP-modulated fluid flow model under server vacation policies.- A compressed cyclic reduction for QBDs with low rank upper and lower transitions.- Bilateral matrix-exponential distribution.- AutoCAT: Automated Product-Form Solution of Stochastic Models.- Markovian trees subject to catastrophes: Would they survive forever?.- Majorization and Extremal PH-Distributions.- Acceptance-rejection methods for generating random variates from matrix exponential distributions and rational arrival processes.- Revisit to the tail asymptotics of the double QBD process: Refinement and complete solutions for the coordinate and diagonal directions.- Two-dimensional fluid queues with temporary assistance.- A Fluid Introduction To Brownian Motion & Stochastic Integration.- The impact of dampening demand variability in a production/inventory system with multiple retailers.
Автор: Meleard Sylvie Название: Stochastic Models for Structured Populations ISBN: 3319217100 ISBN-13(EAN): 9783319217109 Издательство: Springer Рейтинг: Цена: 4877.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Stochastic Models for Structured Populations
Автор: Muller Название: Comparison Methods for Stochastic Models & Risks ISBN: 0471494461 ISBN-13(EAN): 9780471494461 Издательство: Wiley Рейтинг: Цена: 22960.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work covers stochastic order relations, which provide insight into the behaviour of complex stochastic (random) systems and enables the user to collect comparative data. Application areas include queuing systems, actuarial and financial risk, decision making, and stochastic simulation.
Описание: This study provides innovative mathematical models for assessing the eruption probability and associated volcanic hazards, and applies them to the Campi Flegrei caldera in Italy.
Автор: Buraczewski Название: Stochastic Models with Power-Law Tails ISBN: 3319296787 ISBN-13(EAN): 9783319296784 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this monograph the authors give a systematic approach to theprobabilistic properties of the fixed point equation X=AX+B. Aprobabilistic study of the stochastic recurrence equation X_t=A_tX_{t-1}+B_tfor real- and matrix-valued random variables A_t, where (A_t,B_t) constitute aniid sequence, is provided. The classical theory for these equations, includingthe existence and uniqueness of a stationary solution, the tail behavior withspecial emphasis on power law behavior, moments and support, is presented. Theauthors collect recent asymptotic results on extremes, point processes, partialsums (central limit theory with special emphasis on infinite variance stablelimit theory), large deviations, in the univariate and multivariate cases, andthey further touch on the related topics of smoothing transforms, regularlyvarying sequences and random iterative systems.The text gives an introduction to the Kesten-Goldie theory forstochastic recurrence equations of the type X_t=A_tX_{t-1}+B_t. It provides the classical results ofKesten, Goldie, Guivarc'h, and others, and gives an overview of recentresults on the topic. It presents the state-of-the-art results in the field ofaffine stochastic recurrence equations and shows relations with non-affinerecursions and multivariate regular variation.
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