方法证据记录
Bayesian Granger Causality
Bayesian Granger causality tests whether past values of one time series carry predictive information about another, framing the hypothesis through Bayesian inference rather than frequentist p-values. It combines a vector autoregressive (VAR) structure with prior distributions over coefficients and evaluates causal claims via posterior probabilities or Bayes factors, providing a probabilistic and nuanced alternative to the classical Granger test.
源记录
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Bayesian Granger Causality Analysis
分类方法记录 · regression-model / econometrics
- Geweke, J. (1984). Inference and causality in economic time series models. Handbook of Econometrics, 2, 1101-1144. Elsevier. · URL
- Granger causality. Wikipedia. · URL
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