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Bayes Comp is a biennial conference sponsored by the ISBA section of the same name. The conference and the section both aim to promote original research into computational methods for inference and decision making and to encourage the use of frontier computational tools among practitioners, the...
The past ten years has seen an explosion of interest in large and heterogeneous datasets and the statistical and computational techniques needed to handle them. Most of the innovation in this area has come in statistics and computer science departments, but recently economists have also begun to...
This biennial conference provides a forum for new theoretical and applied work on forecasting. Topics: - big data, unstructured data, high frequency data - forecasting inflation, exchange rates; finance and forecasting - forecasting in the presence of structural breaks - forecasting with dynamic...
Theme: Empirical and Theoretical Research on Panel Data.
Computational economics explores the intersection of economics and computation. These areas include agent-based computational modeling, computational econometrics and statistics, computational finance, computational modeling of dynamic macroeconomic systems, computational tools for the design of...
he biennial conference is the meeting place for top scientists from all over the world and successfully integrates the theoretical aspects as well as the perspectives of those who are primarily engaged in applying survey data. The goal is to develop consistent and applicable explanatory patterns...
Created in cooperation with RFE-Resources for Economists of the American Economic Association (AEA)