Modern stochastics and applications

Modern stochastics and applications
Vladimir V. Korolyuk, Vladimir ...
Locate

My Reading Lists:

Create a new list



Buy this book

Last edited by MARC Bot
October 6, 2024 | History

Modern stochastics and applications

This volume presents an extensive overview of all major modern trends in applications of probability and stochastic analysis. It will be a  great source of inspiration for designing new algorithms, modeling procedures, and experiments. Accessible to researchers, practitioners, as well as graduate and postgraduate students, this volume presents a variety of new tools, ideas, and methodologies in the fields of optimization, physics, finance, probability, hydrodynamics, reliability, decision making, mathematical finance, mathematical physics, and economics. Contributions to this Work include those of selected speakers from the international conference entitled “Modern Stochastics: Theory and Applications III,”  held on September 10 –14, 2012 at Taras Shevchenko National University of Kyiv, Ukraine. The conference covered the following areas of research in probability theory and its applications: stochastic analysis, stochastic processes and fields, random matrices, optimization methods in probability, stochastic models of evolution systems, financial mathematics, risk processes and actuarial mathematics, and information security.

Publish Date
Publisher
Springer
Language
English
Pages
349

Buy this book

Edition Availability
Cover of: Modern stochastics and applications
Modern stochastics and applications
2014, Springer
in English

Add another edition?

Book Details


Table of Contents

Comparing Brownian stochastic integrals for the convex order
Application of sub-Gaussian random processes in qeueing theory
A review on time-changed pseudoprocesses and related distributions
Reciprocal processes : a stochastic analysis approach
Probabilistic counterparts of nonlinear parabolic partial differential equation systems
Finite-time blowup and existence of global positive solutions of a semi-linear stochastic partial differential equation with fractional noise
Hydrodynamics and stochastic differential equation with Sobolev coefficients
Elementary pathwise methods for nonlinear parabolic and transport type stochastic partial differential equations with fractal noise
Stochastic partial differential equations driven by general stochastic measures
Exponential convergence of degenerate hybrid stochastic systems with full dependence
Asymptotic behaviour of the distribution density of the fractional Lévy motion
Large deviations for random evolutions in the scheme of asymptotic small diffusion
Limit theorems for excursion sets of stationary random fields
Ambit processes, their volitility determination and their applications
Some functional analytic tools for utility maximization
Maximization of the survival probability by franchise and deductible amounts in the classical risk model
Asymptotic properties of drift parameter estimator based on discrete observations of stochastic differential equation driven by fractional Brownian motion
Minimum contrast method for parameter estimation in the spectral domain
Conditional estimators in exponential regression with errors in covariates

Edition Notes

Includes bibliographical references.

Published in
Cham, New York
Series
Springer Optimization and Its Applications -- volume 90, Springer optimization and its applications -- v.90.
Copyright Date
2014

Classifications

Dewey Decimal Class
519.23
Library of Congress
QA274.2 .M634 2012, QA1-939, QA315-316, QA402.3, QA402.5-QA402.6

The Physical Object

Pagination
xvii, 349 pages
Number of pages
349

Edition Identifiers

Open Library
OL31015768M
ISBN 10
3319035118, 3319035126
ISBN 13
9783319035116, 9783319035123
LCCN
2013958217
OCLC/WorldCat
876227091

Work Identifiers

Work ID
OL23179673W

Community Reviews (0)

No community reviews have been submitted for this work.

Lists

History

Download catalog record: RDF / JSON
October 6, 2024 Edited by MARC Bot import existing book
December 25, 2021 Edited by ImportBot import existing book
November 12, 2020 Created by MARC Bot import new book