Simulation models are becoming increasingly common in the analysis of critical scientific, policy, and management issues.Such models provide a way to analyze complex systems characterized by both large parameter spaces and nonlinear interactions. Unfortunately, these same characteristics make...

This paper provides researchers with an objective list of checks to consider when planning a replication study with the objective of validating findings for informing policy. These replication studies should begin with a pure replication of the published results and then reanalyse the original...

BankCaR is a credit risk model that forecasts the distribution of a commercial bank's charge-offs. The distribution depends only on systematic factors; BankCaR takes each bank and projects its expected charge-off across a distribution of good years and bad years. Since most bank failures occur...

Assessing the discriminative power of rating systems is an important question to banks and to regulators. In this article we analyze the Cumulative Accuracy Profile (CAP) and the Receiver Operating Characteristic (ROC) which are both commonly used in practice. We give a test-theoretic...

The authors have developed a novel methodology for utilising open standards for the reporting and correction of IFC-formatted BIMs during comprehensive dimensional control compliance. As designed BIMs rarely match exactly what was built on-site, and traditional methods for ensuring the design...

Learner modeling is a crucial step in the learning personalization process. It allows taking into consideration the learner's profile to make the learning process more efficient. Most studies refer to an explicit method, namely questionnaire, to model learners. Questionnaires are time consuming...