Tyler Maltba

Statistics Ph.D. Program
B.S. Mathematics, NC State University, 2016
Office / Location: 
Evans 451
tyler_maltba [at] berkeley [dot] edu
Primary Research Area: 
Applied & Theoretical Statistics, Probability
Machine Learning
Dissertation Advisor: 
Steve Evans (Stats/Math), Mike DeWeese (Physics/Redwood Center)

In the past I predominantly worked on optimal stopping of high-dimensional Markov chains. I now work on both qualitative and quantitative properties of stochastic ODE and PDE systems with applications to finance and random dynamics on networks. 

Selected Publications:

Maltba, T., Gremaud, P. A., & Tartakovsky, D. M. (2018). Nonlocal PDF methods for Langevin equations with colored noise. Journal of Computational Physics, 367, 87–101. https://doi.org/10.1016/j.jcp.2018.04.023