A Theorem on the Continuities of Stochastic Processes

A Theorem on the Continuities of Stochastic Processes PDF Author: W.-Q. Liang
Publisher:
ISBN:
Category : Stochastic analysis
Languages : en
Pages : 7

Get Book Here

Book Description

A Theorem on the Continuities of Stochastic Processes

A Theorem on the Continuities of Stochastic Processes PDF Author: W.-Q. Liang
Publisher:
ISBN:
Category : Stochastic analysis
Languages : en
Pages : 7

Get Book Here

Book Description


Limit Theorems for Stochastic Processes

Limit Theorems for Stochastic Processes PDF Author: Jean Jacod
Publisher: Springer Science & Business Media
ISBN: 3662025140
Category : Mathematics
Languages : en
Pages : 620

Get Book Here

Book Description
Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochastic integrals. Apart from a few exceptions essentially concerning diffusion processes, it is only recently that the relation between the two theories has been thoroughly studied. The authors of this Grundlehren volume, two of the international leaders in the field, propose a systematic exposition of convergence in law for stochastic processes, from the point of view of semimartingale theory, with emphasis on results that are useful for mathematical theory and mathematical statistics. This leads them to develop in detail some particularly useful parts of the general theory of stochastic processes, such as martingale problems, and absolute continuity or contiguity results. The book contains an elementary introduction to the main topics: theory of martingales and stochastic integrales, Skorokhod topology, etc., as well as a large number of results which have never appeared in book form, and some entirely new results. It should be useful to the professional probabilist or mathematical statistician, and of interest also to graduate students.

Limit Theorems for Randomly Stopped Stochastic Processes

Limit Theorems for Randomly Stopped Stochastic Processes PDF Author: Dmitrii S. Silvestrov
Publisher: Springer Science & Business Media
ISBN: 0857293907
Category : Mathematics
Languages : en
Pages : 408

Get Book Here

Book Description
This volume is the first to present a state-of-the-art overview of this field, with many results published for the first time. It covers the general conditions as well as the basic applications of the theory, and it covers and demystifies the vast and technically demanding Russian literature in detail. Its coverage is thorough, streamlined and arranged according to difficulty.

Introduction to the Theory of Stochastic Processes Depending on a Continuous Parameter

Introduction to the Theory of Stochastic Processes Depending on a Continuous Parameter PDF Author: Henry Berthold Mann
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 56

Get Book Here

Book Description


An Introduction to Continuity, Extrema, and Related Topics for General Gaussian Processes

An Introduction to Continuity, Extrema, and Related Topics for General Gaussian Processes PDF Author: Robert J. Adler
Publisher: IMS
ISBN: 9780940600171
Category : Mathematics
Languages : en
Pages : 198

Get Book Here

Book Description


Brownian Motion

Brownian Motion PDF Author: Peter Mörters
Publisher: Cambridge University Press
ISBN: 1139486578
Category : Mathematics
Languages : en
Pages :

Get Book Here

Book Description
This eagerly awaited textbook covers everything the graduate student in probability wants to know about Brownian motion, as well as the latest research in the area. Starting with the construction of Brownian motion, the book then proceeds to sample path properties like continuity and nowhere differentiability. Notions of fractal dimension are introduced early and are used throughout the book to describe fine properties of Brownian paths. The relation of Brownian motion and random walk is explored from several viewpoints, including a development of the theory of Brownian local times from random walk embeddings. Stochastic integration is introduced as a tool and an accessible treatment of the potential theory of Brownian motion clears the path for an extensive treatment of intersections of Brownian paths. An investigation of exceptional points on the Brownian path and an appendix on SLE processes, by Oded Schramm and Wendelin Werner, lead directly to recent research themes.

Introduction to Stochastic Processes

Introduction to Stochastic Processes PDF Author: Paul G. Hoel
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 234

Get Book Here

Book Description
Markov chains; Stationary distributions of a markov chain; Markov pure jump processes; Second order processes; Continuity, integration, and differentiation of second order processes; Stochastic differential equations, estimation theory, and spectral distribution.

Continuous Exponential Martingales and BMO

Continuous Exponential Martingales and BMO PDF Author: Norihiko Kazamaki
Publisher: Springer
ISBN: 3540484213
Category : Mathematics
Languages : en
Pages : 102

Get Book Here

Book Description
In three chapters on Exponential Martingales, BMO-martingales, and Exponential of BMO, this book explains in detail the beautiful properties of continuous exponential martingales that play an essential role in various questions concerning the absolute continuity of probability laws of stochastic processes. The second and principal aim is to provide a full report on the exciting results on BMO in the theory of exponential martingales. The reader is assumed to be familiar with the general theory of continuous martingales.

Contiguity and the Statistical Invariance Principle

Contiguity and the Statistical Invariance Principle PDF Author: P. E. Greenwood
Publisher: CRC Press
ISBN: 9782881240133
Category : Mathematics
Languages : en
Pages : 248

Get Book Here

Book Description


A First Look At Stochastic Processes

A First Look At Stochastic Processes PDF Author: Jeffrey S Rosenthal
Publisher: World Scientific
ISBN: 9811207925
Category : Mathematics
Languages : en
Pages : 213

Get Book Here

Book Description
This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and optional stopping theorems for martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and renewal theory.Interspersed throughout are applications to such topics as gambler's ruin probabilities, random walks on graphs, sequence waiting times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.The focus is always on making the theory as well-motivated and accessible as possible, to allow students and readers to learn this fascinating subject as easily and painlessly as possible.