Modeling Market Prices Using Stochastic Processes

Static and Dynamic Program Analysis: Synergies and Applications

Approximation Techniques for Stochastic Optimization Problems

LPs and Convex Programming Relaxations and Rounding for Stochastic Problems

Stochastic Modeling: Definition, Uses, and Advantages

Stochastic Oscillator vs. Stochastic Momentum Index

Lecture 4: Stochastic Thinking | Introduction to Computational Thinking and Data Science | Electrical Engineering and Computer Science | MIT OpenCourseWare

Stochastic Approximation and Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms