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PDF) Backward Stochastic Differential Equations with Constraints on the Gains-Process
Applied Stochastic Analysis: Proceedings of a US-French Workshop, Rutgers University, New Brunswick, N.J., April 29 – May 2, 1991 | SpringerLink
Methods of Mathematical Finance | SpringerLink
Ioannis IAKOVOU | Aristotle University of Thessaloniki, Thessaloníki | AUTH | Laboratory of Nuclear Medicine I | Research profile
Books of Ioannis Karatzas
Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning: Chaos: An Interdisciplinary Journal of Nonlinear Science: Vol 33, No 2
Brownian Motion and Stochastic Calculus (Graduate Texts in Mathematics, 113): Karatzas, Ioannis, Shreve, Steven: 9780387976556: Amazon.com: Books
Publications
Stochastic Analysis and Applications 2014: In Honour of Terry Lyons | SpringerLink
Zipf's law for atlas models | Journal of Applied Probability | Cambridge Core
Stochastic Differential Systems, Stochastic Control Theory and Applications: Proceedings of a Workshop, held at IMA, June 9-19, 1986 | SpringerLink
An overview of stochastic filtering theory | Advances in Applied Probability | Cambridge Core
Stochastic Differential Systems: Proceedings of the 3rd Bad Honnef Conference June 3–7, 1985 | SpringerLink
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Brownian Models of Performance and Control
Professor Ioannis Karatzas
Konstantinos Spiliopoulos - homepage
Ranking The Researchers and Scientists in Greece 2017 | PDF | Scholarly Communication | Methodology
Closed Form Solutions for Term Structure Derivatives with Log‐Normal Interest Rates - MILTERSEN - 1997 - The Journal of Finance - Wiley Online Library
Ioannis Karatzas - Mathematical Aspects of Arbitrage (Rutgers) - YouTube
Methods of Mathematical Finance | SpringerLink
Servitization and the Effect of Training on Service Delivery System Performance - Karatzas - 2020 - Production and Operations Management - Wiley Online Library
Brownian Motion and Stochastic Calculus - Ioannis Karatzas, Steven E. Shreve - Google Books
Drug genetic associations with COVID-19 manifestations: a data mining and network biology approach | The Pharmacogenomics Journal