Applied probability
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- Poisson Line Processes and Spatial Transportation Networks
- Probability and Random Processes
- Math 4450 Applied Probability
- Extremes of Markov-Additive Processes with One-Sided Jumps, with Queueing Applications
- Applied Probability and Statistics for Engineers 2017/2018 Course
- Hitting Probabilities in a Markov Additive Process with Linear
- Syllabus for Math 319/419: Applied Probability and Stochastic
- Industrial Engineering
- Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains
- Integrating Engineering Design and Applied Probability
- Lecture Notes in Applied Probability
- Part B Applied Probability
- Temporal Point Processes and the Conditional Intensity Function Arxiv
- Spatial Point Processes and Their Applications
- Optimal Portfolio Selection in an Itô–Markov Additive Market
- Probability in Computational Physics and Biology: Some Mathematical Contributions Mathias Rousset
- Notes on the Poisson Point Process
- Course Syllabus ESI 6325 Applied Probability Methods in Engineering (APME) Fall 2019