Contemporary decision support systems are increasingly relying on artificial intelligence technology such as machine learning algorithms to form intelligent systems. These systems have human-like decision capacity for selected applications based on a decision rationale which cannot be looked-up...

Due to computational advances in the past decades, so-called intelligent systems can learn from increasingly complex data, analyze situations, and support users in their decision-making to address them. However, in practice, the complexity of these intelligent systems renders the user hardly...

What began as a single COVID-19 case in China in late 2019 quickly spread around the globe in the first quarter of 2020. While the impact on the world\'s health systems is unknown, the economic toll remains also remains unknown as the world grapples with an unprecedented global recession. This...

Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of analytical model building and solve associated tasks. Deep...

This note analyzes the distributional properties of Pareto Type III random variables. The orignal two parameters distribution proposed by Pareto is expanded in a three parameters version and both its density and characteristic function are derived. The analytic expression of the inverse...

This document describes the Israeli Social Accounting Matrix (SAM) for the year 2004, developed by the Agricultural and Food Policy Group at the University of Hohenheim. The SAM is a part of a larger research project which aims to analyse several economic, trade, and labour policies in the...

This paper describes the implementation in GAMS of an economic equilibrium model based on the GTAP version 9 dataset. We call this model and the ancillary programming tools GTAPINGAMS, version 9. Relative to previous installments of GTAPINGAMS, an innovation in this model is that it can easily...

This paper focuses on the valuation and hedging of gas storage facilities, using a spot-based valuation framework coupled with a financial hedging strategy implemented with futures contracts. The contributions of this paper are two-fold. Firstly, we propose a model that unifies the dynamics of...