Posted on Tuesday, 24th April 2012

Please read sections 18.4 and 18.5 and post a comment.

Posted in Class | Comments (11)

  1. Eric VanEpps Says:

    Can you say a bit more about Granger causality? It seems like an interesting and useful concept, but I can’t tell if it can only be used in bivariate cases, or if it has wider application than that. If it does have wider application, could you provide another example? Thanks!

  2. Amanda Markey Says:

    I’m not sure I entirely understand what the significance tests based on the integrated squared difference between two smooth curves is really testing.
    Suppose we had two curves that were exactly the same shape, but one had been translated x units up. It seems that this significance test would miss the similarity. Is there a way to test for whether the shapes are significantly different?

  3. Noah Says:

    Is the propagation of uncertainty more complicated in bi-variate series?

  4. Sharlene Flesher Says:

    When wouldn’t you be able to use the periodogram to propagate uncertainty, and have to use the methods discussed in 18.4.2? Why wouldn’t you be able to use it, and the uncertainty obtained from it?

  5. Jay Scott Says:

    Can you explain the bar notation in formula 18.51 on p554?

  6. Shubham Debnath Says:

    Is there any particular smoothing method for periodograms that would be better for interpreting coherence?

  7. Rob Rasmussen Says:

    What would be a good statistical method to analyze the location of peaks in the periodograms? It seems like in figure 18.15 that the peaks can be relatively hidden within the 95% confidence bands.

  8. Scott Kennedy Says:

    I usually read about spike-triggered averages used to identify the functional relationship between a motor cortical neuron and the EMG of a muscle. Could Granger causality also be used in this situation to show if the neuron is causally related to the EMG?

  9. Thomas Kraynak Says:

    If any, what are the differences to take in consideration between standard bootstrap procedures and bootstrapping the smoothed periodogram?

  10. Rich Truncellito Says:

    Do the rules governing bivariate time series data extend to multivariate cases?

  11. David Zhou Says:

    Can you talk about Granger causality? Might this be possible to use this for EEG channels?

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