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Sep 14, 2022 · Computational economics can be broadly characterized in three main areas of activity: numerical methods to solve economic models, agent-based models, and computationally intensive techniques to analyse and model big datasets. The limited goal of this chapter is to provide an overview that focuses on the analysis and modelling of large datasets ...
Issue 4 April 2016. Special Issue: Computational Intelligence Applications in Trading. Issue 3 March 2016; Issue 2 February 2016; Issue 1 January 2016. Special Issue: Network Approaches to Interbank Markets. Volume 46 June - December 2015 Jun - Dec 2015. Issue 4 December 2015; Issue 3 October 2015. Special issue: Environmental Economics Issues ...
Apr 20, 2024 · Scoring Six Detrending Methods on Timing, Lead-Lag Relations, and Cycle Periods: An Empirical Study of US and UK Recessions 1977–2020. Computational Economics is a multidisciplinary journal that integrates computational science with all branches in economics, to understand and solve complex ...
2.1 Overview. This chapter deals with an introduction to the main methods used in computational analysis, with a focus on the techniques usually employed in economics. The chapter has two purposes. A first one is to familiarize the reader with main techniques in computational economics, while a second one is the show how to apply them in Julia.
Jun 24, 2015 · This paper proposes a Bayesian network model to address censoring, class imbalance and real-time implementation issues in credit risk scoring. It shows that the Bayesian network model performs well against competing models (logistic regression model and neural network model) along several dimensions such as accuracy, sensitivity, precision and the receiver characteristic curve. Better ...
Computational social choice. Computational social choice is a field at the intersection of social choice theory, theoretical computer science, and the analysis of multi-agent systems. [1] It consists of the analysis of problems arising from the aggregation of preferences of a group of agents from a computational perspective.
The ACEGES model (Agent-based Computational Economics of the Global Energy System) is a decision support tool for energy policy by means of controlled computational experiments. [1] The ACEGES tool is designed to be the foundation for large custom-purpose simulations of the global energy system. The ACEGES methodological framework, developed by ...
