Humanitarian logistics plays a vital role in disaster management. However, it often faces the challenge of unpredictable road conditions when solving relief prepositioning problems to effectively respond to natural disasters. This study examines the location-allocation problem in humanitarian...

This report evaluates the computational reproducibility and analytical robustness of Exley and Kessler's (2024) investigation into "motivated errors," which suggests that individuals may rationalize selfish behavior by attributing their errors to confusion. Using the original data and code, we...

In multivariate time series systems, key insights can be obtained by discovering lead-lagrelationships inherent in the data, which refer to the dependence between two timeseries shifted in time relative to one another, and which can be leveraged for thepurposes of control, forecasting or...

This paper proposes two new approaches to improve estimation of the coefficients of the multivariate HAR (MHAR) model, and in turn improve forecast performance. A robust estimator of the covariance matrix is adopted to replace the realized covariance (RCov) matrix while estimating the MHAR...

We study a general class of utility processes V(c)=(V_{t}(c)), where V_{t}(c), a dynamic utility operator, is a decision criterion that quantifies a decision maker's evaluation of uncertain consumption streams c. We call this dynamic utility operator robust and its distinctiveness is that it...