Kin Keung Lai

TL;DR: The vector critical points, the weakly efficient points and the solutions of the weak vector variational-like inequality, under non-smooth pseudo-α-invexity assumptions, are identified.

TL;DR: An empirical mode decomposition (EMD) based neural network ensemble learning model is proposed for world crude oil spot price modeling and forecasting and it is shown that this model can be accurately predicted.

TL;DR: A stochastic optimization model for hotel revenue management with multiple-day stays under an uncertain environment is presented and can be changed to a linear programming model by applying linearization techniques.

TL;DR: A MCA based hybrid methodology for analyzing and forecasting the risk evolution in the crude oil market is proposed and the reliability and stability of Value at Risk estimated improve as a result of finer modeling procedure in the multi frequency and time domain.

TL;DR: In this paper, the authors considered the moral hazard and adverse selection between the government and manufacturer, and constructed a single-layer principal-agent model and double-layer Principal-Agent model including the supplier, and compared the abatement strategies of the manufacturer in the two models, and designed the government's incentive contracts for the manufacturer of the supply chain on reducing emissions.