Probability & Stochastic Processes
The field of stochastic processes is the study of the evolution of groups of random variables over time. This provides a useful mathematical framework in the modeling of many real-world applications, from stock markets to biological phenomena.
Frank Gao
Professor
Brink Hall 322
208-885-5274
Research: Mathematical Theory of Deep Learning; Optimization Algorithms; Approximation Theory in Neural Networks; Metric Entropy and its applications in Probability and Statistics.
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Steve Krone
Professor
Brink Hall 421
208-885-6317
Research: Analysis and Differential Equations, Mathematical Biology, Bioinformatics, and Computational Biology, Probability and Stochastic Processes
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