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原文書 （33）
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Richard Serfozo （2）
Samuel N. Cohen/ Robert J. Elliott （2）
A. N. Borodin,P. Salminen （1）
Anatoliy Malyarenko/ Nicolai Leonenko (FRW) （1）
Andrei Borodin （1）
Andrei N. Borodin/ Paavo Salminen （1）
B. L. S. Prakasa Rao （1）
Ciprian Tudor （1）
D. J. Daley/ D. Vere-Jones （1）
Daryl J. Daley/ David Vere-Jones （1）
Dmitrii S. Silvestrov （1）
Francesca Biagini/ Yaozhong Hu/ Bernt Oksendal/ Tusheng Zhang （1）
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Gunter Last/ Andreas Brandt （1）
Hanspeter Schmidli （1）
Ilya Molchanov （1）
Leszek Gawarecki/ Vidyadhar Mandrekar （1）
Louis H. Y. Chen/ Larry Goldstein/ Qi-Man Shao （1）
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共33筆商品，1/2頁
Theory of Random Sets
1.

Theory of Random Sets

作者：Ilya Molchanov  出版社：Springer Verlag  出版日：2011/12/14 裝訂：平裝
This is the first systematic exposition of random sets theory since Matheron (1975), with full proofs, exhaustive bibliographies and literature notesInterdisciplinary connections and applications of r
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Discrete-time Markovian Jump Linear Systems
2.

Discrete-time Markovian Jump Linear Systems

作者：Oswaldo Luiz Do Valle Costa; M. D. Fragoso; Ricardo Paulino Marques  出版社：Springer Verlag  出版日：2004/12/01 裝訂：精裝
Safety critical and high-integrity systems, such as industrial plants and economic systems can be subject to abrupt changes - for instance due to component or interconnection failure, and sudden envir
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Excursions of Markov Processes
3.

Excursions of Markov Processes

作者：Robert M. Blumenthal  出版社：Springer Verlag  出版日：2012/06/02 裝訂：平裝
Let {Xti t ~ O} be a Markov process in Rl, and break up the path X t into (random) component pieces consisting of the zero set ({ tlX = O}) and t the "excursions away from 0," that is pieces of path X
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Stochastic Calculus and Applications
4.

Stochastic Calculus and Applications

作者：Samuel N. Cohen; Robert J. Elliott  出版社：Birkhauser  出版日：2015/11/19 裝訂：平裝
Completely revised and greatly expanded, the new edition of this text takes readers who have been exposed to only basic courses in analysis through the modern general theory of random processes and st
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Stochastic Control in Insurance
5.

Stochastic Control in Insurance

作者：Hanspeter Schmidli  出版社：Springer Verlag  出版日：2008/12/01 裝訂：平裝
Yet again, here is a Springer volume that offers readers something completely new. Until now, solved examples of the application of stochastic control to actuarial problems could only be found in jour
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Spectral Theory of Random Schrodinger Operators
6.

Spectral Theory of Random Schrodinger Operators

作者：Rene Carmona; Jean Lacroix  出版社：Springer Verlag  出版日：1990/09/01 裝訂：精裝
Since the seminal work of P. Anderson in 1958, localization in disordered systems has been the object of intense investigations. Mathematically speaking, the phenomenon can be described as follows: th
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Handbook of Brownian Motion - Facts and Formulae
7.

Handbook of Brownian Motion - Facts and Formulae

作者：A. N. Borodin; P. Salminen  出版社：Birkhauser Verlag AG  出版日：2002/05/01 裝訂：精裝
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Limit Theorems for Randomly Stopped Stochastic Processes
8.

Limit Theorems for Randomly Stopped Stochastic Processes

作者：Dmitrii S. Silvestrov  出版社：Springer Verlag  出版日：2004/01/01 裝訂：精裝
Limit theorems for stochastic processes are an important part of probability theory and mathematical statistics and one model that has attracted the attention of many researchers working in the area i
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Analysis of Variations for Self-similar Processes ― A Stochastic Calculus Approach
9.

Analysis of Variations for Self-similar Processes ― A Stochastic Calculus Approach

作者：Ciprian Tudor  出版社：Springer Verlag  出版日：2013/08/19 裝訂：精裝
Self-similar processes are stochastic processes that are invariant in distribution under suitable time scaling, and are a subject intensively studied in the last few decades. This book presents the ba
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Stochastic Differential Equations in Infinite Dimensions ― With Applications to Stochastic Partial Differential Equations
90折
10.

Stochastic Differential Equations in Infinite Dimensions ― With Applications to Stochastic Partial Differential Equations

作者：Leszek Gawarecki; Vidyadhar Mandrekar  出版社：Springer Verlag  出版日：2013/01/27 裝訂：平裝
The systematic study of existence, uniqueness, and properties of solutions to stochastic differential equations in infinite dimensions arising from practical problems characterizes this volume that is
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The Poisson-Dirichlet Distribution and Related Topics ─ Models and Asymptotic Behaviors
11.

The Poisson-Dirichlet Distribution and Related Topics ─ Models and Asymptotic Behaviors

作者：Shui Feng  出版社：Springer Verlag  出版日：2010/07/30 裝訂：精裝
The Poisson-Dirichlet distribution is an infinite dimensional probability distribution. It was introduced by Kingman over thirty years ago, and has found applications in a broad range of areas includi
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Invariant Probabilities of Transition Functions
12.

Invariant Probabilities of Transition Functions

作者：Radu Zaharopol  出版社：Springer Verlag  出版日：2014/07/16 裝訂：精裝
The structure of the set of all the invariant probabilities and the structure of various types of individual invariant probabilities of a transition function are two topics of significant interest in
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Invariant Random Fields on Spaces With a Group Action
13.

Invariant Random Fields on Spaces With a Group Action

作者：Anatoliy Malyarenko; Nicolai Leonenko (FRW)  出版社：Springer Verlag  出版日：2012/10/29 裝訂：精裝
The author describes the current state of the art in the theory of invariant random fields. This theory is based on several different areas of mathematics, including Probability Theory, Differential G
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Feynman-Kac Formulae ― Genealogical and Interacting Particle Systems With Applications
14.

Feynman-Kac Formulae ― Genealogical and Interacting Particle Systems With Applications

作者：Pierre Del Moral  出版社：Springer Verlag  出版日：2004/03/30 裝訂：精裝
This text takes readers in a clear and progressive format from simple to recent and advanced topics in pure and applied probability such as contraction and annealed properties of non-linear semi-group
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Stochastic Processes
15.

Stochastic Processes

作者：Andrei Borodin  出版社：Birkhauser  出版日：2017/11/10 裝訂：精裝
This book provides a rigorous yet accessible introduction to the theory of stochastic processes. A significant part of the book is devoted to the classic theory of stochastic processes. In turn, it al
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Stochastic and Integral Geometry
16.

Stochastic and Integral Geometry

作者：Rolf Schneider; Wolfgang Weil  出版社：Springer Verlag  出版日：2008/11/03 裝訂：精裝
Stochastic geometry deals with models for random geometric structures. Its early beginnings are found in playful geometric probability questions, and it has vigorously developed during recent decades,
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Basics of Applied Stochastic Processes
90折
17.

Basics of Applied Stochastic Processes

作者：Richard Serfozo  出版社：Springer Verlag  出版日：2014/11/06 裝訂：平裝
Stochastic processes are mathematical models of random phenomena that evolve according to prescribed dynamics. Processes commonly used in applications are Markov chains in discrete and continuous time
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定價：3500 元， 優惠價：9 3150
Basics of Applied Stochastic Processes
18.

Basics of Applied Stochastic Processes

作者：Richard Serfozo  出版社：Springer Verlag  出版日：2009/01/01 裝訂：精裝
Stochastic processes are mathematical models of random phenomena that evolve according to prescribed dynamics. Processes commonly used in applications are Markov chains in discrete and continuous time
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Stochastic Calculus for Fractional Brownian Motion and Applications
19.

Stochastic Calculus for Fractional Brownian Motion and Applications

作者：Francesca Biagini; Yaozhong Hu; Bernt Oksendal; Tusheng Zhang  出版社：Springer Verlag  出版日：2008/02/22 裝訂：精裝
"Several approaches have been used to develop the concept of stochastic calculus for fBm. The purpose of this book is to present a comprehensive account of the different definitions of stochastic inte
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Stochastic Calculus and Applications
20.

Stochastic Calculus and Applications

作者：Samuel N. Cohen; Robert J. Elliott  出版社：Birkhauser  出版日：2015/11/19 裝訂：精裝
Completely revised and greatly expanded, the new edition of this text takes readers who have been exposed to only basic courses in analysis through the modern general theory of random processes and st
若需訂購本書，請電洽客服
02-25006600[分機130、131]。
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