probability and its applications

Probability Measures on Semigroups ─ Convolution Products, Random Walks, and Random Matrices

作者：Goran Hognas; Arunava Mukherjea 出版社：Springer Verlag 出版日：2010/11/01 裝訂：精裝

This second edition presents up-to-date material on the theory of weak convergance of convolution products of probability measures in semigroups, the theory of random walks on semigroups, and their a

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2.

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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3.

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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4.

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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5.

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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6.

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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7.

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

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8.

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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9.

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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10.

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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11.

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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12.

Noise-induced Phenomena in Slow-fast Dynamical Systems ― A Sample-paths Approach

作者：Nils Berglund; Barbara Gentz 出版社：Springer Verlag 出版日：2005/12/01 裝訂：精裝

Stochastic Differential Equations have become increasingly important in modelling complex systems in physics, chemistry, biology, climatology and other fields. This book examines and provides sy

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13.

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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14.

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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15.

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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16.

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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17.

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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18.

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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19.

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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20.

Normal Approximation by Stein??Method

作者：Louis H. Y. Chen; Larry Goldstein; Qi-Man Shao 出版社：Springer Verlag 出版日：2012/12/01 裝訂：平裝

Stein’s method has offered a completely novel way of evaluating the quality of normal approximations. This volume contains thorough coverage of the method’s fundamentals. It includes a large number of

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Probability Measures on Semigroups ─ Convolution Products, Random Walks, and Random Matrices

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

Theory of Random Sets

Discrete-time Markovian Jump Linear Systems

Basics of Applied Stochastic Processes

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

Excursions of Markov Processes

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

Stochastic and Integral Geometry

Basics of Applied Stochastic Processes

Stochastic Calculus and Applications

Noise-induced Phenomena in Slow-fast Dynamical Systems ― A Sample-paths Approach

Stochastic Calculus for Fractional Brownian Motion and Applications

Stochastic Control in Insurance

Spectral Theory of Random Schrodinger Operators

Handbook of Brownian Motion - Facts and Formulae

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

Invariant Probabilities of Transition Functions

Invariant Random Fields on Spaces With a Group Action

Normal Approximation by Stein??Method