[Mne_analysis] Envelope correlation

[Vivek Sharma]

        External Email - Use Caution        

Thanks.

On Tue, Aug 27, 2019 at 6:57 PM Sheraz Khan <sheraz at nmr.mgh.harvard.edu>
wrote:

> Hi Vivek,
>
> Please look at slide 19, for the statistical test between two envelope
> correlation distributions.
>
> https://www.dropbox.com/s/r9hnkfhxup1hpqt/MULE.pptx?dl=0
>
> Thanks,
>
> Sheraz
>
>
> On Tue, Aug 27, 2019 at 1:35 AM Vivek Sharma <vivek.sharma1510 at gmail.com>
> wrote:
>
>>         External Email - Use Caution
>>
>> Thanks.
>>
>> On Thu, Aug 22, 2019 at 6:29 PM Denis-Alexander Engemann <
>> denis.engemann at gmail.com> wrote:
>>
>>>         External Email - Use Caution
>>>
>>> One approach is to use some non-parametric stats such as Mann-Whitney-U
>>> or Wilcoxon signed rank tests, depending on the question. You can also
>>> avoid orthogonalization by keyword argument if you really need to satisfy
>>> the positive definite constraint.
>>>
>>> HTH,
>>> Denis
>>>
>>> On Thu 22 Aug 2019 at 13:02, Vivek Sharma <vivek.sharma1510 at gmail.com>
>>> wrote:
>>>
>>>>         External Email - Use Caution
>>>>
>>>> Hi,
>>>> What kind of statistical test can be applied to compare among the
>>>> different envelope correlation matrix?
>>>> I wanted to calculate how significant is the difference between the two
>>>> matrices and in general, these require positive definite
>>>> Thanks
>>>>
>>>> On Thu, Aug 22, 2019 at 12:40 PM Alexandre Gramfort <
>>>> alexandre.gramfort at inria.fr> wrote:
>>>>
>>>>>         External Email - Use Caution
>>>>>
>>>>> as an orthogonalization is performed to fix the leakage the matrix is
>>>>> not positive definite
>>>>> and a correlation matrix per se anymore.
>>>>>
>>>>> HTH
>>>>> Alex
>>>>>
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>>>>
>>>>
>>>> --
>>>> Vivek Sharma
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>>
>>
>> --
>> Vivek Sharma
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-- 
Vivek Sharma
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