Andrey Sarantsev
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I am an Associate Professor (with tenure, starting from July 2024) at the
Department of Mathematics and Statistics,
University of Nevada, Reno.
I worked as a tenure-track Assistant Professor here starting from July 2018. Research interests: Statistical Theory, Time Series Analysis, Stochastic Processes, Stochastic Analysis, Quantitative Finance, Financial Econometrics.
From Autumn 2015 to Summer 2018, I was a Visiting Assistant Professor at the
Department of Statistics and Applied Probability,
University of California, Santa Barbara.
My postdoctoral mentor was Jean-Pierre Fouque,
who partially supported me with his NSF grant DMS 1409434.
I got my Ph.D. in June 2015 from the Department of Mathematics,
University of Washington, Seattle,
under the supervision of
Soumik Pal.
Office: Davidson Mathematics & Science Center 234
E-mail: asarantsev[_a_ _t_]unr.edu
Mail: 1664 N Virginia St, Reno, NV 89557
Office Hours: Tue, Wed 1-4pm, Thu 3-4pm
Past Graduate Students: Abraham Atsiwo, Jihyun Park (PhD Statistics and Data Science); Hayden Brown (MS and PhD Applied Mathematics)
Current Graduate Students: William Kramer (MS Statistics and Data Science)
Financial Data Library
Annual 1871-2024, Robert Shiller
Annual 1918-2024, my undergrads
Quarterly 1988-2024, SPGlobal
Monthly 1986-2024, Volatility Index
Accessible LaTeX Mathematics [short]
[detailed]
[PDF]
My Ph.D. thesis: Competing Brownian Particles
Lecture Notes on Probability Theory and Stochastic Processes for Undergraduates: [PDF] Accessible HTML:
[part 1]
[part 2]
[part 3]
Past and Current Teaching
- Spring 2026 (future): STAT 753 (Stochastic Models and Simulation) and STAT 775 (Quantitative Finance)
- Fall 2025 (current): STAT 452/652 (Linear Regression) and STAT 461/661 (Probability Theory)
- Spring 2025: STAT 466/666 (Bayesian Inference) and STAT 706 (qualifying-exam Probability II)
- Fall 2024: STAT 462/662 (Stochastic Processes) and STAT 758 (Time Series)
- Spring 2024: STAT 461/661 (Probability Theory) and STAT 753 (Stochastic Models and Simulation)
- Fall 2023: STAT 462/662 (Stochastic Processes) and MATH 488/688 (Partial Differential Equations)
- Spring 2023: STAT 461/661 (senior-level Probability) and STAT 706 (qualifying-exam Probability II)
- Fall 2022: STAT 705 (qualifying-exam Probability I) and STAT 758 (Time Series)
- Spring 2022: STAT 352 (Statistics and Probability for Engineers) and MATH 285 (Differential Equations)
- Fall 2021: STAT 705 (qualifying-exam Probability I)
- Spring 2021: STAT 706 (qualifying-exam Probability II)
- Fall 2020: STAT 462/662 (Stochastic Processes) and STAT 758 (Time Series)
- Spring 2020: STAT 706 (qualifying-exam Probability II)
- Fall 2019: STAT 461/661 (senior-level Probability) and STAT 462/662 (Stochastic Processes)
- Spring 2019: STAT 461/661 (senior-level Probability)
- Fall 2018: STAT 461/661 (senior-level Probability)
Coauthors
Clayton Barnes, Yana Belopolskaya, Geoffrey Blewitt, Cameron Bruggeman, Manuel Cabezas, Amir Dembo, Andrei Derevianko,
Adrian Fischer, Brandon Flores, Robert E. Gaunt, Pierre-Olivier Goffard, Tomoyuki Ichiba, Ioannis Karatzas, Davar Khoshnevisan,
Praveen Kolli, Michael Ludkovski, Aditya Maheshwari, Blessing Ofori-Atta, Soumik Pal, Guodong Pang, Andrey Pilipenko,
Olga Rumyantseva, Arko Sen, Vladas Sidoravicius, Nikolay Strigul, Yury Suhov, Li-Cheng Tsai
Disclaimer
Some PDF content on this web site is not accessible for visually impaired people.
If you have trouble seeing some content, please contact the professor for help.