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  1. before the 2016 International Communication Association meetings in Fukuoka, Japan. The call for papers was issued in December 2015. We received 30 submissions; five were rejected on the basis of fit, and 25 were reviewed by the editors. In January 2016, 15 of these were selected for the preconference, and the editors provided feedback to authors.

  2. Handbook of Computational Economics. H. Amman, John Rust, D. Kendrick. Published 1996. Computer Science, Economics. TLDR. This paper presents a meta-modelling framework for general equilibrium modelling for policy analysis and forecasting of dynamic linear economies and some of the methods used in this framework came from previous work on ...

  3. e. Economic history is the study of history using methodological tools from economics or with a special attention to economic phenomena. Research is conducted using a combination of historical methods, statistical methods and the application of economic theory to historical situations and institutions. The field can encompass a wide variety of ...

  4. 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 ...

  5. 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.

  6. Jun 20, 2021 · Introduction to the Special Issue on Agent-Based Computational Economics. Researchers use models of agent-based computational economics (ACE) to study economic systems of heterogeneous interacting agents who are frequently boundedly rational. This paradigm within economics has grown out of roots in other disciplines in the natural and social ...

  7. Dec 7, 2015 · This paper formulates the Z-test of the Durbin-Watson (DW) statistic by the true sampling distribution of the DW statistic under the null hypothesis of no serial correlation. Two important results are determined. First, the variance of the DW statistic is convexly related to the degree of freedom, T − k − 1. Thus, the degree of freedom determines the Z-test formula of the DW test ...

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