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The Effects of Detrending in Granger Causality Tests
Journal of Business & Economic Statistics, 1985Nonstationary time series are frequently detrended in empirical investigations by regressing the series on time or a function of time. The effects of the detrending on the tests for causal relationships in the sense of Granger are investigated using quarterly U.S. data.
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Bayes multivariate signification tests and Granger causality [PDF]
, 2011 The Granger causality test is reduced, after co-integration, to the test of the fact that some coefficients of linear regressions are equal to zero or not. In this paper we will build multi-variate Bayes tests for the signification of the parameters of linear regression provided by the above Granger causality, instead of using the classical F statistics ...
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A Kernel Test of Nonlinear Granger Causality
2008We present a novel test of nonlinear Granger causality in bivariate time series. The trace norm of conditional covariance operators is used to capture the prediction errors. Based on this measure, a subsampling-based multiple testing procedure tests the prediction improvement of one time series by the other one.
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Genetics, genomics, and cancer risk assessment
Ca-A Cancer Journal for Clinicians, 2011Kenneth Offit
exaly
MCED blood test boosts cancer detection in symptomatic patients
Ca-A Cancer Journal for Clinicians, 2023exaly
Multiple Myeloma: Charging Toward a Bright Future
Ca-A Cancer Journal for Clinicians, 2007Parameswaran N Hari
exaly
COVID concerns highlight the importance of adequate fecal immunochemical test sample collection
Ca-A Cancer Journal for Clinicians, 2021exaly
Cancer‐related risk factors and preventive measures in US Hispanics/Latinos
Ca-A Cancer Journal for Clinicians, 2012Priti Bandi
exaly