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Daniel Hopman

2 papers hereh-index 321 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • math.OC1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

most citedA machine learning approach to itinerary-level booking prediction in competitive airline markets

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2021★ 1 cited

A machine learning approach to itinerary-level booking prediction in competitive airline markets

Daniel Hopman, Ger Koole, Rob van der Mei

Demand forecasting is extremely important in revenue management. After all, it is one of the inputs to an optimisation method which aim is to maximize revenue. Most, if not all, fo…

stat.AP2017

Gaussian Processes for Demand Unconstraining

Ilan Price, Jaroslav Fowkes, Daniel Hopman

One of the key challenges in revenue management is unconstraining demand data. Existing state of the art single-class unconstraining methods make restrictive assumptions about the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.