Elements of Stochastic Modelling



The Stochastic Growth Model

This free textbook provides a detailed summary of the key elements of The Stochastic Growth Model.

Stochastic Modeling and Control

5 Stochastic Modelling of Structural Elements 6 Singular Stochastic Control in Option Hedging with Transaction Costs 7 Stochastic Control for Jump Diffusions 8 Iterations for a General Class

Distributions in Stochastic Network Models

of elements in random environments. To construct and to analyse a large number of different stochastic network models it is possible by a proof of new analytical results and a construction of calculation

Stochastic Finite Elements: A Spectral Approach

Designed for those involved in analysis and design of random systems, this text analyzes a class of discrete mathematical models of engineering systems. It clearly identifies key issues

Stochastic Modeling in Economics and Finance

Unlike other books that focus only on selected specific subjects this book provides both a broad and rich cross-section of contemporary approaches to stochastic modeling in finance and economics

Numerical Solution of Stochastic Differential Equations (Stochastic Modelling and Applied Probability)

and Stratonovich interpretations of stochastic integrals and SDEs.

Part 3 is definitely of great interest to those who must develop mathematical models using SDEs. The authors carefully outline the reasons where

Stochastic Models for Fault Tolerance: Restart, Rejuvenation and Checkpointing

modeling and software reliability. Readers will find here an up-to-date overview of the key theoretical results, making this the only comprehensive text on stochastic models for restart-related problems.

Stochastic Dynamics of Structures

of random functions. Readers will gain insight into core concepts such as stochastic process models for typical dynamic excitations of structures, stochastic finite element, and random vibration analysis. Li

Stochastic Calculus and Financial Applications

the It(tm) integral and aims to provide a development that is honest and complete without being pedantic. With the It(tm) integral in hand, the course focuses more on models. Stochastic processes

Basic Stochastic Processes

on the part of traders of the mathematical models for derivative trading.
The mathematical tools are widely used, but probably a lot less widely understood!

A bit of history: Stochastic


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