UB Paderborn / Katalog / Suche / in CDI

Poisson Point Processes and Their Application to Markov Processes

1st ed. 2015, 2016

Volltextzugriff (PDF)

Stochastic Processes: Lectures Given at Aarhus University

1, 2004

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Diffusion Processes and their Sample Paths: Reprint of the 1974 Edition

1996

Volltextzugriff (PDF)

Stochastic Processes and Their Applications: Proceedings of the International Conference Held in Nagoya, July 2-6 1985

1986 edition., 2006

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Probability Theory and Mathematical Statistics: Proceedings of the Fourth USSR-Japan Symposium, held at Tbilisi, USSR, August 23-29, 1982

1983 edition., 2006

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Diffusion Processes and Their Sample Paths

1, 1974

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Itô's Stochastic Calculus and Probability Theory

1, 1996

Volltextzugriff (PDF)

Markov processes from K. ito's perspective (AM-155)

Stroock, Daniel W

1, 2003

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On the occasion of the ceremonial 2006 Gauss Prize event at Kyoto University

Japanese journal of mathematics, 2007-03, Vol.2 (1), p.41-43

Itô, Kiyosi

2007

Volltextzugriff (PDF)

Stochastic Methods in Biology: Proceedings of a Workshop held in Nagoya, Japan July 8-12 1985

1, 1987

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Application to Markov Processes

Poisson Point Processes and Their Application to Markov Processes, 2016, p.19-43

Itô, Kiyosi

2016

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Probability Theory: Proceedings of the 1989 Singapore Probability Conference held at the National University of Singapore, June 8-16, 1989

2015

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Poisson Point Processes

Poisson Point Processes and Their Application to Markov Processes, 2016, p.1-18

Itô, Kiyosi

2016

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Foreword

Poisson Point Processes and Their Application to Markov Processes, 2016

Itô, Kiyosi

2016

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Intro

Poisson Point Processes and Their Application to Markov Processes, 2016

Itô, Kiyosi

2016

Volltextzugriff (PDF)

On Malliavin calculus

Probability Theory, 2015, p.47-72

Originally published 1992, 2015

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Diffusion Processes and their Sample Paths: Reprint of the 1974 Edition

2012

Volltextzugriff (PDF)

MARTINGALE IDEOLOGY IN THE THEORY OF CONTROLLED STOCHASTIC PROCESSES

Probability Theory and Mathematical Statistics, 2006, Vol.1021, p.73-92

2006

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On a Formula Concerning Stochastic Differentials

Nagoya mathematical journal, 1951-10, Vol.3, p.55-65

Itô, Kiyosi

1951

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Stochastic Processes: Lectures given at Aarhus University

2004 edition., 2013

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Stochastic Differential Equations in a Differentiable Manifold

Nagoya mathematical journal, 1950-06, Vol.1, p.35-47

Itô, Kiyosi

1950

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Stochastic Analysis

Itô, K

1, 1984

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Complex Multiple Wiener Integral

Japanese journal of mathematics :transactions and abstracts, 1952, Vol.22, pp.63-86

ITÔ, Kiyosi

1952

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On stochastic processes (I): Infinitely divisible laws of probability

Japanese journal of mathematics :transactions and abstracts, 1941, Vol.18, pp.261-301

ITÔ, Kiyosi

1941

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On malliavin tensor fields

Communications on pure and applied mathematics, 1994-03, Vol.47 (3), p.377-403

Itô, Kiyosi

1994

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Poisson Point Processes and Their Application to Markov Processes

Stochastic Processes: Lectures Given at Aarhus University

Diffusion Processes and their Sample Paths: Reprint of the 1974 Edition

Stochastic Processes and Their Applications: Proceedings of the International Conference Held in Nagoya, July 2-6 1985

Probability Theory and Mathematical Statistics: Proceedings of the Fourth USSR-Japan Symposium, held at Tbilisi, USSR, August 23-29, 1982

Diffusion Processes and Their Sample Paths

Itô's Stochastic Calculus and Probability Theory

Markov processes from K. ito's perspective (AM-155)

On the occasion of the ceremonial 2006 Gauss Prize event at Kyoto University

Stochastic Methods in Biology: Proceedings of a Workshop held in Nagoya, Japan July 8-12 1985

Application to Markov Processes

Probability Theory: Proceedings of the 1989 Singapore Probability Conference held at the National University of Singapore, June 8-16, 1989

Poisson Point Processes

Foreword

Intro

On Malliavin calculus

Diffusion Processes and their Sample Paths: Reprint of the 1974 Edition

MARTINGALE IDEOLOGY IN THE THEORY OF CONTROLLED STOCHASTIC PROCESSES

On a Formula Concerning Stochastic Differentials

Stochastic Processes: Lectures given at Aarhus University

Stochastic Differential Equations in a Differentiable Manifold

Stochastic Analysis

Complex Multiple Wiener Integral

On stochastic processes (I): Infinitely divisible laws of probability

On malliavin tensor fields

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