Reproducibility Package for "Machine Learning-Driven Overbooking Optimization under Dynamic Cancellation Risk: Evidence from Hotel Revenue Management"
Year: 2026
Type: dataset
Abstract: This reproducibility package contains the final computational notebooks and authoritative processed artifacts supporting the principal numerical results reported in the article “Machine Learning-Driven Overbooking Optimization under Dynamic Cancellation Risk: Evidence from Hotel Revenue Management.” The package includes prediction and calibration summaries, booking-control policy results, rolling-frequency comparisons, parameter-validation outputs, dependence-sensitivity results, vacancy-cost validation, final stress-test aggregations, recovery-audit summaries, lexicographic-selection verification, and Poisson-binomial numerical verification. The original third-party hotel-booking dataset is not redistributed and should be obtained from the publicly available source cited in the article, subject to the applicable terms of use.
Author: Cha, Jinho
Institution: Gwinnett Technical College
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7208738720