Explainability through uncertainty: Trustworthy decision-making with neural networks
Uncertainty is a key feature of any machine learning model and is particularly important in
neural networks, which tend to be overconfident. This overconfidence is worrying under …
neural networks, which tend to be overconfident. This overconfidence is worrying under …
A novel two-stage dynamic pricing model for logistics planning using an exploration–exploitation framework: A multi-armed bandit problem
Dynamic pricing is utilized as a tool for determining pricing strategies in different sectors,
such as the food industries, airline companies, and transportation services. Dynamic pricing …
such as the food industries, airline companies, and transportation services. Dynamic pricing …
Bayesian non-parametric method for decision support: Forecasting online product sales
Forecasting online product sales is essential for retailers and e-commerce platforms, but it
can be challenging owing to the complex dynamics and mixed trends in sales data. Popular …
can be challenging owing to the complex dynamics and mixed trends in sales data. Popular …
[HTML][HTML] Novel pricing strategies for revenue maximization and demand learning using an exploration–exploitation framework
The price demand relation is a fundamental concept that models how price affects the sale
of a product. It is critical to have an accurate estimate of its parameters, as it will impact the …
of a product. It is critical to have an accurate estimate of its parameters, as it will impact the …
[HTML][HTML] Unconstrained estimation of multitype car rental demand
Y Yang, A Ceder, W Zhang, H Tang - Applied Sciences, 2021 - mdpi.com
The unconstrained demand forecast for car rentals has become a difficult problem for
revenue management due to the need to cope with a variety of rental vehicles, the strong …
revenue management due to the need to cope with a variety of rental vehicles, the strong …
航班需求预测方法研究综述
陈良玉, 高随祥 - 工程研究, 2022 - pubs.cstam.org.cn
随着我国民航市场规模的快速增长, 民航业面临日益激烈的竞争. 引入科学有效的收益管理系统
是各大航空公司应对激烈竞争的有效手段. 航班需求预测是收益管理系统进行动态定价和舱位 …
是各大航空公司应对激烈竞争的有效手段. 航班需求预测是收益管理系统进行动态定价和舱位 …
Single-dimensional leg-level dynamic programming with booking-time dependent cancellation probabilities for revenue management
In this paper, an optimisation method is introduced that accounts for cancellations. We do so
by estimating the opportunity cost of a booking between the time of booking and the …
by estimating the opportunity cost of a booking between the time of booking and the …
Data Analytics of Human Behaviors with Applications
M Aguirre - 2023 - deepblue.lib.umich.edu
This dissertation presents a comprehensive analysis of human behaviors with an emphasis
on practical methods that generate a positive societal impact with regards to driving safety …
on practical methods that generate a positive societal impact with regards to driving safety …
Data-Driven Dynamic Pricing of Airline Upgrades
T Stewen - 2021 - aaltodoc.aalto.fi
The airline industry is highly competitive with costly operations. These factors, combined
with the advances in technology and varying kinds of customers, have led to the …
with the advances in technology and varying kinds of customers, have led to the …
the real theory and practice of revenue management
DS Hopman - 2020 - research.vu.nl
This thesis discusses the real theory and practice of revenue management (RM). Over the
past few decades, there has been extensive research in RM that has led to interesting …
past few decades, there has been extensive research in RM that has led to interesting …