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In this article we examine how model selection in neural networks can be guided by statistical procedures such as hypotheses tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification...
Persistent link: https://www.econbiz.de/10010299652
In this article we examine how model selection in neural networks can be guided by statistical procedures such as hypotheses tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification...
Persistent link: https://www.econbiz.de/10011622013
Persistent link: https://www.econbiz.de/10014305430
Persistent link: https://www.econbiz.de/10010228530
This paper addresses the growing gulf between traditional macroeconometrics and the increasingly dominant preference among macroeconomists to use DSGE models and to estimate them using Bayesian estimation with strong priors but not to test them as they are likely to fail conventional statistical...
Persistent link: https://www.econbiz.de/10011688793
In most of the empirical research on capital markets, stock market indexes are used as proxies for the aggregate market development. In previous work we found that a particular market segment might be less efficient than the whole market and hence easier to forecast. In this paper we extend the...
Persistent link: https://www.econbiz.de/10010291063
Persistent link: https://www.econbiz.de/10009238103
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Persistent link: https://www.econbiz.de/10012386807
Information criteria, nonlinearity, additive outliers, innovative outliers, change in persistence, outlier detection. - Informationskriterien, Nichtlinearität, additive Ausreißer, innovative Ausreißer, Persistenzbruch, Ausreißerermittlung
Persistent link: https://www.econbiz.de/10012123316