<p>The causal influence is from row to column. The causality is given for each direction and the corresponding -value is presented in brackets. If the uncorrected -value is less than (surviving Bonferroni correction), the causal influence is identified as significant and indicated in bold in the table.</p
<p>(A) The time courses of with . (B) The average value and its confidence interval of the Granger ...
<p><b>A</b>: Graph showing a case where the statistical dependence between and is (partly) due to ...
Methods used to infer causal relations from data rather than knowledge of mechanisms are most helpfu...
<p>The causal influence is from row to column. The causality is given for each direction, and the co...
<p>Pairwise causal influences using Granger causality following application of significance threshol...
Granger causality (GC) is expressed as change in abundance of response variable (in standard deviati...
<p>Note: The rows represent ‘targets’, while the columns represent 'origins '. * P<0.05 Granger caus...
Granger causality is a statistical concept of causality that is based on prediction. According to Gr...
The causality proposed by Granger (1969) and several tests for it are often used in economic science...
Abstract. Granger causality (GC) is one of the most popular measures to re-veal causality influence ...
<p>(A) monkey GE and (B) monkey LU. Solid arrows indicate directions of causal influence in the beta...
<p>(A and B) 3D surface plots of adjusted R<sup>2</sup> values (Y-axes) based on auto-regression (AR...
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Re...
<p>(A) Regions showing significant causal effect with the seed in patients. (B) Regions showing sign...
<p>(A) Regions showing significant causal effect with the seed in patients. (B) Regions showing sign...
<p>(A) The time courses of with . (B) The average value and its confidence interval of the Granger ...
<p><b>A</b>: Graph showing a case where the statistical dependence between and is (partly) due to ...
Methods used to infer causal relations from data rather than knowledge of mechanisms are most helpfu...
<p>The causal influence is from row to column. The causality is given for each direction, and the co...
<p>Pairwise causal influences using Granger causality following application of significance threshol...
Granger causality (GC) is expressed as change in abundance of response variable (in standard deviati...
<p>Note: The rows represent ‘targets’, while the columns represent 'origins '. * P<0.05 Granger caus...
Granger causality is a statistical concept of causality that is based on prediction. According to Gr...
The causality proposed by Granger (1969) and several tests for it are often used in economic science...
Abstract. Granger causality (GC) is one of the most popular measures to re-veal causality influence ...
<p>(A) monkey GE and (B) monkey LU. Solid arrows indicate directions of causal influence in the beta...
<p>(A and B) 3D surface plots of adjusted R<sup>2</sup> values (Y-axes) based on auto-regression (AR...
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Re...
<p>(A) Regions showing significant causal effect with the seed in patients. (B) Regions showing sign...
<p>(A) Regions showing significant causal effect with the seed in patients. (B) Regions showing sign...
<p>(A) The time courses of with . (B) The average value and its confidence interval of the Granger ...
<p><b>A</b>: Graph showing a case where the statistical dependence between and is (partly) due to ...
Methods used to infer causal relations from data rather than knowledge of mechanisms are most helpfu...