Notebooks developed in Mathematica for my Ph.D. thesis and other resources
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Updated
Feb 14, 2023 - Mathematica
Notebooks developed in Mathematica for my Ph.D. thesis and other resources
A research-driven analysis of dynamic ticket pricing, modeling distributions with scaled Beta estimates derived from limited statistics (min, max, mean, median). The approach enriches Random Forest classification by incorporating shape parameters (α, β) and leveraging constant-value features for implicit regularization. Based on SeatGeek data.
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