Robust & Non-Robust Models in Statistics
- 317 stránek
- 12 hodin čtení
Svetlozar T. Rachev is a distinguished academic whose work deeply explores the realms of statistics, econometrics, and mathematical finance. His rigorous research, evidenced by numerous publications and advanced degrees from prestigious institutions, provides foundational insights into complex financial systems. Professor Rachev's expertise extends beyond academia, as he co-founded a company focused on financial risk-management software, demonstrating a commitment to applying theoretical knowledge to practical, real-world challenges.




"Fat-Tailed and Skewed Asset Return Distributions" challenges the assumption of normally distributed asset returns in finance. Authors Rachev, Menn, and Fabozzi provide a practical approach to portfolio selection, risk management, and option pricing, emphasizing non-normal distributions. The book covers probability distributions, stochastic processes, and risk measurement techniques.
Focusing on the theory of mass transportation, this comprehensive two-volume work delves into the Monge-Kantorovich and Kantorovich-Rubinstein problems, exploring various solution approaches and their connections to functional analysis, probability theory, and mathematical economics. The second volume emphasizes practical applications in areas such as applied probability, queuing theory, and stochastic processes, making it a valuable resource for graduate students and researchers in theoretical and applied probability, operations research, and related fields.
Focusing on the optimal transfer of masses, this volume serves as a comprehensive reference for researchers in fields such as applied probability, operations research, computer science, and mathematical economics. It delves into mass transportation problems, providing essential insights and methodologies relevant to the discipline.