Submitted papers:
Refereed papers:
- Bayesian Reinforcement Learning to Optimize
Paid Ancillary Revenue in the Airline Industry (with Kevin Duijndam and Rob van der Mei). To appear in Journal of Revenue and Pricing Management.
- An investigation of the exposure effect of recommender systems in hospitality (with Rik van Leeuwen and Koen Hoogkamp). Decision Analysis Journal 10, 2024.
Journal of Computational Mathematics and Data Science 9, 2023.
Decision Analytics Journal 8, 2023.
- Anomaly detection in univariate time series incorporating active learning (with Rik van Leeuwen).
Journal of Computational Mathematics and Data Science 6, 2023.
- Single-dimensional leg-level dynamic programming with booking-time dependent cancellation probabilities for revenue management (with Daniel Hopman and Rob van der Mei).
International Journal of Revenue Management 13(1/2):99-122, 2022.
- Data-driven market segmentation in hospitality using unsupervised machine learning (with Rik van Leeuwen).
Machine Learning with Applications 10, 2022.
- Demand forecasting in hospitality using smoothed demand curves (with Rik van Leeuwen).
Journal of Revenue and Pricing Management 21:487-502, 2022.
- A machine learning approach to itinerary-level booking prediction in competitive airline markets (with Daniel Hopman and Rob van der Mei).
International Journal of Revenue Management 12(1):1, 2021.
- Single-leg revenue management with downsell and delayed decision-making (with Daniel Hopman and Rob van der Mei).
Journal of Revenue and Pricing Management 16(6): 594-606, 2017.
- A case for exploratory data analysis in revenue management forecasting: a case study of a small and independent hotel in The Netherlands (with Dirk Sierag, Jean-Pierre van der Rest, Rob van der Mei and Bert Zwart).
International Journal of Revenue Management 10:28-51, 2017.
- Revenue Management under Customer Choice Behaviour with Cancellations and Overbooking (with Dirk Sierag, Rob van der Mei, Jean-Pierre van der Rest and Bert Zwart).
European Journal of Operational Research 246(1):170-185, 2015.
- Estimating unconstrained customer choice set demand: A case study on airline reservation data (with Alwin Haensel and Jeroen Erdman).
Journal of Choice Modelling 4(3):75-87, 2011.
- Estimating unconstrained demand rate functions using customer choice sets (with Alwin Haensel).
Journal of Revenue & Pricing Management 10(5):438-454, 2011.
- Booking horizon forecasting with dynamic updating: A case study of hotel reservation data (with Alwin Haensel).
International Journal of Forecasting 27:942-960, 2011.
Other scientific papers:
Publications in the professional literature:
Popular-scientific articles:
Interviews:
Books:
Editorial work:
Press articles: