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Bernido, Christopher C.

Stochastic and Infinite Dimensional Analysis

Bernido, Christopher C. - Stochastic and Infinite Dimensional Analysis, ebook

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ISBN: 9783319072456
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Table of contents

1. Along Paths Inspired by Ludwig Streit: Stochastic Equations for Quantum Fields and Related Systems
Sergio Albeverio

2. Detecting Hierarchical Communities in Networks: A New Approach
Michael J. Barber

3. Transition Probabilities for Processes with Memory on Topological Non-trivial Spaces
Christopher C. Bernido, M. Victoria Carpio-Bernido

4. Generalized Scaling Operators in White Noise Analysis and Applications to Hamiltonian Path Integrals with Quadratic Action
Wolfgang Bock

5. Computer Simulations of Self-Repelling Fractional Brownian Motion
Jinky Bornales, Cresente Cabahug, Roel Baybayon, Sim Bantayan, Beverly Gemao

6. Principal Solutions Revisited
Stephen Clark, Fritz Gesztesy, Roger Nichols

7. Laplace Operators in Gamma Analysis
Dennis Hagedorn, Yuri Kondratiev, Eugene Lytvynov, Anatoly Vershik

8. 38 Years with Professor Ludwig Streit
Takeyuki Hida

9. Quasi-analyticity and Determinacy of the Full Moment Problem from Finite to Infinite Dimensions
Maria Infusino

10. Elements for the Retrieval of the Solar Spectrum on the Surface of Mars from an Array of Photodiodes
Salvador Jiménez, Luis Vázquez

11. Stochastic Processes on Ends of Tree and Dirichlet Forms
Witold Karwowski

12. Completing Canonical Quantization, and Its Role in Nontrivial Scalar Field Quantization
John R. Klauder

13. Stochastic Solutions of Nonlinear PDE’s and an Extension of Superprocesses
Rui Vilela Mendes

14. Maximum Likelihood Drift Estimation for the Mixing of Two Fractional Brownian Motions
Yuliya Mishura

15. Existence of Density for Solutions of Mixed Stochastic Equations
Taras Shalaiko, Georgiy Shevchenko

Keywords: Mathematics, Probability Theory and Stochastic Processes, Applications of Mathematics

Editor
 
 
 
 
 
Publisher
Springer
Publication year
2016
Language
en
Edition
1
Series
Trends in Mathematics
Page amount
10 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9783319072456
Printed ISBN
978-3-319-07244-9

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