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Stochastic Modeling of Baseball: A Markov Chain Approach by Henry Juan '25

Wed, March 19th, 2025
1:00 pm
- 1:50 pm

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Stochastic Modeling of Baseball: A Markov Chain Approach by Henry Juan ’25, Wednesday March 19, 1:00 – 1:50pm, North Science Building 015, Wachenheim, Statistics Colloquium

Abstract: The talk will explore the application of Markov models to baseball, providing valuable insight regarding player performance and game dynamics. By modeling baseball as a finite-state Markov Chain, transition probabilities can be derived between game states and used to simulate expected outcomes for unique lineup configurations. This probabilistic modeling approach allows for a deeper understanding of strategic optimization, in-game decision making,  and the ever growing use of analytics in sports.

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