Stochastic Foundations: A Comprehensive Guide for Scholars and Practitioners. FINANCIAL ENGINEERING
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- FormatePub
- ISBN8230761563
- EAN9798230761563
- Date de parution19/12/2024
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIndependently Published
Résumé
Stochastic Foundations: A Comprehensive Guide for Scholars and Practitioners" is a thorough and authoritative resource that provides a solid foundation in stochastic theory. This ebook is designed for scholars, practitioners, and students seeking to master the fundamentals of stochastic theory and its applications. Discover how to: Understand the key concepts of stochastic theory, including probability, random variables, stochastic processes, and martingales Develop a deep understanding of the mathematical foundations of stochastic theory, including measure theory, functional analysis, and stochastic calculus Apply stochastic theory to real-world problems in finance, economics, engineering, and computer science Analyze and solve complex stochastic problems using mathematical techniques and computational methods This ebook covers key topics such as: Introduction to stochastic theory: fundamentals, history, and applications Probability theory: axioms, theorems, and applications Random variables and stochastic processes: definitions, properties, and applications Martingales and stochastic calculus: definitions, theorems, and applications Applications of stochastic theory: finance, economics, engineering, and computer science Emerging trends and future directions: machine learning, artificial intelligence, and big data analytics This ebook is divided into four parts: Introduction to Stochastic Theory Mathematical Foundations of Stochastic Theory Applications of Stochastic Theory Emerging Trends and Future Directions
Stochastic Foundations: A Comprehensive Guide for Scholars and Practitioners" is a thorough and authoritative resource that provides a solid foundation in stochastic theory. This ebook is designed for scholars, practitioners, and students seeking to master the fundamentals of stochastic theory and its applications. Discover how to: Understand the key concepts of stochastic theory, including probability, random variables, stochastic processes, and martingales Develop a deep understanding of the mathematical foundations of stochastic theory, including measure theory, functional analysis, and stochastic calculus Apply stochastic theory to real-world problems in finance, economics, engineering, and computer science Analyze and solve complex stochastic problems using mathematical techniques and computational methods This ebook covers key topics such as: Introduction to stochastic theory: fundamentals, history, and applications Probability theory: axioms, theorems, and applications Random variables and stochastic processes: definitions, properties, and applications Martingales and stochastic calculus: definitions, theorems, and applications Applications of stochastic theory: finance, economics, engineering, and computer science Emerging trends and future directions: machine learning, artificial intelligence, and big data analytics This ebook is divided into four parts: Introduction to Stochastic Theory Mathematical Foundations of Stochastic Theory Applications of Stochastic Theory Emerging Trends and Future Directions
