Stochastic Differential Equations and Processes SAAP, Tunisia, October 7-9, 2010 /
Selected papers submitted by participants of the international Conference “Stochastic Analysis and Applied Probability 2010” ( www.saap2010.org ) make up the basis of this volume. The SAAP 2010 was held in Tunisia, from 7-9 October, 2010, and was organized by the “Applied Mathematics & Mathemati...
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Other Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2012.
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Series: | Springer Proceedings in Mathematics,
7 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Preface
- 1.H. Schurz: Basic Concepts of Numerical Analysis of Stochastic Differential Equations Explained by Balanced Implicit Theta Methods
- 2.C.A. Tudor: Kernel Density Estimation, Local Time and Chaos Expansion
- 3.W. Jedidi, J. Almhana, V. Choulakian, R. McGorman: General Shot Noise Processes and Functional Convergence to Stable Processes
- 4.C. El-Nouty: The Lower Classes of the Sub-Fractional Brownian Motion
- 5.M. Erraoui and Y. Ouknine: On the Bounded Variation of the Flow of Stochastic Differential Equation
- 6.A. Ayache, Q. Peng: Stochastic Volatility and Multifractional Brownian Motion
- 7.A. Gulisashvili, J. Vives: Two-sided Estimates for Distribution Densities in Models with Jumps
- 8.M. Lefebvre: Maximizing a Function of the Survival Time of a Wiener Process in an Interval.