In this work, the potentials of data-driven optimization for the well-known berth allocation problem are studied. The aim of robust berth scheduling is to derive conflict-free vessel assignments at the quay of a terminal, taking into account uncertainty regarding the actual vessel arrival times...

This article presents a new approach for building robust portfolios based on stochastic efficiency analysis and periods of market downturn. The empirical analysis is done on assets traded on the Brazil Stock Exchange, B3 (Brasil, Bolsa, Balcao). We start with information on the assets from...

The European gas market is implemented as an entry-exit system, which aims to decouple transport and trading of gas. It has been modeled in the literature as a multilevel problem, which contains a nonlinear flow model of gas physics. Besides the multilevel structure and the nonlinear flow model,...

This paper investigates robust information transmission between a sender and a receiver in the Crawford and Sobel (1982) model. We characterize behavior that remains equilibrium behavior independently of the form of a small communication cost. Under standard conditions, we find that an...

The external validity of experimental results is essential in the social sciences. Existing methods estimate causal effects in a target population, called the target population average treatment effect (T-PATE). However, these methods are sometimes difficult to implement either because it is...

Researchers in the social sciences make extensive use of linear regression models in which the dependent variable is continuous-valued while the explanatory variables are a combination of continuous-valued regressors and dummy variables. The dummies partition the sample into groups, some of...

The well known Jarque-Bera (JB) test for normality uses the sample mean and sample standard deviation for estimating the population mean and population standard deviation. Instead of the sample standard deviation, Gel and Gastwirth (2008) proposed to use a robust scale estimator, known as the...

In this paper, a scaled independent component analysis (sICA) method is proposed for finding potential factors with more predictive power. The core idea is to improve the predictive effect of the model by giving more weight to those variables with stronger predictive power before estimating the...