Showing 1 - 7 of 7
Tests for serial independence and goodness-of-fit based on divergence notions between probability distributions, such as the Kullback-Leibler divergence or Hellinger distance, have recently received much interest in time series analysis. The aim of this paper is to introduce tests for serial...
Persistent link: https://www.econbiz.de/10010325428
Tests for serial independence and goodness-of-fit based on divergence notions between probability distributions, such as the Kullback-Leibler divergence or Hellinger distance, have recently received much interest in time series analysis. The aim of this paper is to introduce tests for serial...
Persistent link: https://www.econbiz.de/10011346484
See also C. Diks: <A href="http://www1.fee.uva.nl/cendef/upload/6/ecss_diks_r1.pdf">'Nonparametric tests for independence'</A>. In R. Meyers (Ed.), Encyclopedia of Complexity and Systems Science. Berlin: Springer Verlag, 2009. <P> Tests for serial independence and goodness-of-fit based on divergence notions between probability distributions, such as the...</p></a>
Persistent link: https://www.econbiz.de/10011255895
The paper addresses a problem in a frequently used nonparametric test for Granger causality (Hiemstra and Jones, 1994). Some examples suffice to show that the equality tested in general is not an implication of the null hypothesis of conditional independence. Upon deriving the asymptotic bias we...
Persistent link: https://www.econbiz.de/10005345358
Tests for serial independence and goodness-of-fit based on divergence notions between probability distributions, such as the Kullback-Leibler divergence or Hellinger distance, have recently received much interest in time series analysis. The aim of this paper is to introduce tests for serial...
Persistent link: https://www.econbiz.de/10005144548
We address a consistency problem in the commonly used nonparametric test for Granger causality developed by Hiemstra and Jones (1994). We show that the relationship tested is not implied by the null hypothesis of Granger non-causality. Monte Carlo simulations using processes satisfying the null...
Persistent link: https://www.econbiz.de/10005584883
We address a consistency problem in the commonly used nonparametric test for Granger causality developed by Hiemstra and Jones (1994). We show that the relationship tested is not implied by the null hypothesis of Granger non-causality. Monte Carlo simulations using processes satisfying the null...
Persistent link: https://www.econbiz.de/10004966097