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Stochastic Analysis, Filtering, and Stochastic Optimization: A Commemorative Volume to Honor Mark H. A. Davis's Contributions

ISBN-13: 9783030985219 / Angielski

George Yin; Thaleia Zariphopoulou
Stochastic Analysis, Filtering, and Stochastic Optimization: A Commemorative Volume to Honor Mark H. A. Davis's Contributions George Yin Thaleia Zariphopoulou 9783030985219 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Stochastic Analysis, Filtering, and Stochastic Optimization: A Commemorative Volume to Honor Mark H. A. Davis's Contributions

ISBN-13: 9783030985219 / Angielski

George Yin; Thaleia Zariphopoulou
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This volume is a collection of research works to honor the late Professor Mark H.A. Davis, whose pioneering work in the areas of Stochastic Processes, Filtering, and Stochastic Optimization spans more than five decades. Invited authors include his dissertation advisor, past collaborators, colleagues, mentees, and graduate students of Professor Davis, as well as scholars who have worked in the above areas. Their contributions may expand upon topics in piecewise deterministic processes, pathwise stochastic calculus, martingale methods in stochastic optimization, filtering, mean-field games, time-inconsistency, as well as impulse, singular, risk-sensitive and robust stochastic control.

This volume is a collection of research works to honor the late Professor Mark H.A. Davis, whose pioneering work in the areas of Stochastic Processes, Filtering, and Stochastic Optimization spans more than five decades. Invited authors include his dissertation advisor, past collaborators, colleagues, mentees, and graduate students of Professor Davis, as well as scholars who have worked in the above areas. Their contributions may expand upon topics in piecewise deterministic processes, pathwise stochastic calculus, martingale methods in stochastic optimization, filtering, mean-field games, time-inconsistency, as well as impulse, singular, risk-sensitive and robust stochastic control. 

Kategorie:
Nauka, Matematyka
Kategorie BISAC:
Mathematics > Prawdopodobieństwo i statystyka
Mathematics > Matematyka stosowana
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9783030985219

Control in Hilbert Space and First-Order Mean Field Type Problem (A. Bensoussan).- Risk-Sensitive Markov Decision Problems under Model Uncertainty: Finite Time Horizon Case (R. Bielecki).- Optimal Control of Piecewise Deterministic Markov Processes (F. Dufour).- Pathwise Approximations for the Solution of the Non-Linear Filtering Problem (D. Crisan).- Discrete-Time Portfolio Optimization under Maximum Drawdown Constraint with Partial Information and Deep Learning Resolution (H. Pham).- Estimating the Matthew Effects: Switching Pareto Dynamics (J. Elliott).- Optimal Couplings on Wiener Space and An Extension of Talagrand's Transport Inequality (F¨ollmer).- Who Are I: Time Inconsistency and Intrapersonal Conflict and Reconciliation (Yu Zhou).- N-Player and Mean-Field Games in Ito-Diffusion Markets with Competitive or Homophilous Interaction (T. Zariphopoulou).- A Variational Characterization of Langevin-Smoluchowski Diffusions (H. Xing).- Incomplete Stochastic Equilibria with Exponential Utilities Close to Pareto Optimality (B. Tschiderer).- Finite Markov Chains Coupled to General Markov Processes and An Application to Metastability I (J. Swanson).- Finite Markov Chains Coupled to General Markov Processes and An Application to Metastability II (J. Swanson).- Maximally Distributed Random Fields under Sublinear Expectation (S. Peng).- Pairs Trading under Geometric Brownian Motion Models (Q. Zhang).- Equilibrium Model of Limit Order Books: A Mean-Field Game View (J. Ma).- Bounded Regret for Finitely Parameterized Multi-Armed Bandits (P. Varaiya).- Developing the Path Signature Methodology and Its Application to Landmark-Based Human Action Recognition (T.  Lyons).

​George Yin received his Ph.D. degree in applied mathematics from Brown University in 1987. He joined the Department of Mathematics, Wayne State University in 1987, and became Professor in 1996 and University Distinguished Professor in 2017. He moved to the University of Connecticut in 2020. His research interests include stochastic processes, stochastic control, systems theory, and applications. He has served on the editorial board of many journals; he is the Editor-in-Chief of SIAM Journal on Control and Optimization. He is a Fellow of IFAC, a Fellow of IEEE, and a Fellow of SIAM.


Thaleia Zariphopoulou received her Ph.D. in Applied Mathematics from Brown University in 1989. She holds the Presidential Chair of Mathematics and the V.F. Neuhaus Professorship of Finance at UT-Austin. Previously, she was the Laun Professor at the University of Wisconsin, Madison and from 2009-2012, the first holder of the statutory Oxford-Man Chair in Quantitative Finance at the Mathematical Institute, University of Oxford. She is the Editor of the SIAM Series in Financial Mathematics and serves in the editorial board of many journals, among which the SIAM journals SICON and SIFIN. She has also been the Vice-Chair (2007-2010) of the SIAG Activity Group in Financial Mathematics and Engineering, and has served as Vice-President (2004-2006) and President (2006-2008) of the Bachelier Finance Society. In 2012, she was elected SIAM Fellow. Her research interests include stochastic optimization and financial mathematics.

This volume is a collection of research works to honor the late Professor Mark H.A. Davis, whose pioneering work in the areas of Stochastic Processes, Filtering, and Stochastic Optimization spans more than five decades. Invited authors include his dissertation advisor, past collaborators, colleagues, mentees, and graduate students of Professor Davis, as well as scholars who have worked in the above areas. Their contributions may expand upon topics in piecewise deterministic processes, pathwise stochastic calculus, martingale methods in stochastic optimization, filtering, mean-field games, time-inconsistency, as well as impulse, singular, risk-sensitive and robust stochastic control. 



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