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Beschreibung
The central and distinguishing feature shared by all the contributions made by K. Ito is the extraordinary insight which they convey. Reading his papers, one should try to picture the intellectual setting in which he was working. At the time when he was a student in Tokyo during the late 1930s, probability theory had only recently entered the age of continuous-time stochastic processes: N. Wiener Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
16.12.1986
Sprache
Englisch
EAN
9780387963266
Herausgeber
Springer US
Sonderedition
Nein
Autor
Kiyosi Ito
Seitenanzahl
647
Auflage
1987
Einbandart
Gebundene Ausgabe
Schlagwörter
Ito calculus, random events, stochastic processes, financial mathematics
Thema-Inhalt
PB - Mathematik
Inhaltsverzeichnis
[1] On Stochastic Processes (Infinitely divisible laws of probability).- [2] Differential Equations Determining a Markoff Process.- [3] On the Ergodicity of a Certain Stationary Process.- [4] A Kinematic Theory of Turbulence.- [5] On the Normal Stationary Process with no Hysteresis.- [7] Stochastic Integral.- [9] On a Stochastic Integral Equation.- [10] Stochastic Differential Equations in a Differentiable Manifold.- [11] Brownian Motions in a Lie Group.- [12] On Stochastic Differential Equations.- [13] On a Formula Concerning Stochastic Differentials.- [14] Multiple Wiener Integral.- [15] Stochastic Differential Equations in a Differentiable Manifold.- [16] Stationary Random Distributions.- [17] Complex Multiple Wiener Integral.- [18] Isotropic Random Current.- [19] Spectral Type of the Shift Transformation of Differential Processes with Stationary Increments.- [20] Potentials and the Random Walk.- [21] Wiener Integral and Feynman Integral.- [22] Construction of Diffusions.- [23] The Brownian Motion and Tensor Fields on Riemannian Manifold.- [24] Brownian Motions on a Half Line.- [25] The Expected Number of Zeros of Continuous Stationary Gaussian Processes.- [26] On Stationary Solutions of a Stochastic Differential Equation.- [27] Transformation of Markov Processes by Multiplicative Functionals.- [28] The Canonical Modification of Stochastic Processes.- [29] On the Convergence of Sums of Independent Banach Space Valued Random Variables.- [30] Generalized Uniform Complex Measures in the Hilbertian Metric Space with their Application to the Feynman Integral.- [31] On the Oscillation Functions of Gaussian Processes.- [32] Canonical Measurable Random Functions.- [33] The Topological Support of a Gauss Measure on Hilbert Space.- [34] Poisson Point Processes Attached to Markov Processes.- [37] Stochastic Differentials.- [38] Stochastic Parallel Displacement.- [40] Extension of Stochastic Integrals.- [44] Infinite Dimensional Ornstein-Uhlenbeck Processes.- [45] Regularization of Linear Random Functionals (with M. Nawata).- [46] Distribution-Valued Processes Arising from Independent Brownian Motions.
Höhe
235 mm
Breite
15.5 cm
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