Closed jovo closed 7 years ago
Maybe using absolute value of |c(v)| rather than c(v)? I do not have any intuition on relatively extreme negative value. Please refer to the appendix of MNT.
@jovo @cshen6 contr.pdf
It looks like column sum of statistics matrix works as good as |both sum|. Since I have no clue how to interpret |both sum|, it would be better to use column sum. It seems that row sum could be significantly negative under dependence?
great! wonderful! that means we are right here!
On Thu, Nov 3, 2016 at 12:38 PM, Youjin Lee notifications@github.com wrote:
@jovo https://github.com/jovo @cshen6 https://github.com/cshen6 contr.pdf https://github.com/neurodata/Multiscale-Network-Test/files/569581/contr.pdf
It looks like column sum of statistics matrix works as good as |both sum|. Since I have no clue how to interpret |both sum|, it would be better to use column sum. It seems that row sum could be significantly negative under dependence?
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/neurodata/Multiscale-Network-Test/issues/16#issuecomment-258199039, or mute the thread https://github.com/notifications/unsubscribe-auth/ALX0y2hYrL-Uqvrv_egKNyxxyzHWWmrEks5q6g4hgaJpZM4KhVVc .
now we should really include the node contribution methodology / simulation / real data into section 2/3/4 respectively!
On Thu, Nov 3, 2016 at 12:49 PM, Cencheng Shen cshen6@jhu.edu wrote:
great! wonderful! that means we are right here!
On Thu, Nov 3, 2016 at 12:38 PM, Youjin Lee notifications@github.com wrote:
@jovo https://github.com/jovo @cshen6 https://github.com/cshen6 contr.pdf https://github.com/neurodata/Multiscale-Network-Test/files/569581/contr.pdf
It looks like column sum of statistics matrix works as good as |both sum|. Since I have no clue how to interpret |both sum|, it would be better to use column sum. It seems that row sum could be significantly negative under dependence?
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/neurodata/Multiscale-Network-Test/issues/16#issuecomment-258199039, or mute the thread https://github.com/notifications/unsubscribe-auth/ALX0y2hYrL-Uqvrv_egKNyxxyzHWWmrEks5q6g4hgaJpZM4KhVVc .
I think we should include node contribution to the projection description too as a sub-task.
Can you quickly make the same figure, but only keep red line and black line?
The legend will be "Independence Test" & "Node Contribution Test", y axis label just use "Power" title will be "MGC for Testing Independence and Node Contribution"
make sense?
On Thu, Nov 3, 2016 at 12:52 PM, Cencheng Shen cshen6@jhu.edu wrote:
now we should really include the node contribution methodology / simulation / real data into section 2/3/4 respectively!
On Thu, Nov 3, 2016 at 12:49 PM, Cencheng Shen cshen6@jhu.edu wrote:
great! wonderful! that means we are right here!
On Thu, Nov 3, 2016 at 12:38 PM, Youjin Lee notifications@github.com wrote:
@jovo https://github.com/jovo @cshen6 https://github.com/cshen6 contr.pdf https://github.com/neurodata/Multiscale-Network-Test/files/569581/contr.pdf
It looks like column sum of statistics matrix works as good as |both sum|. Since I have no clue how to interpret |both sum|, it would be better to use column sum. It seems that row sum could be significantly negative under dependence?
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/neurodata/Multiscale-Network-Test/issues/16#issuecomment-258199039, or mute the thread https://github.com/notifications/unsubscribe-auth/ALX0y2hYrL-Uqvrv_egKNyxxyzHWWmrEks5q6g4hgaJpZM4KhVVc .
agreed!
On Thu, Nov 3, 2016 at 1:02 PM, cshen6 notifications@github.com wrote:
I think we should include node contribution to the projection description too as a sub-task.
Can you quickly make the same figure, but only keep red line and black line?
The legend will be "Independence Test" & "Node Contribution Test", y axis label just use "Power" title will be "MGC for Testing Independence and Node Contribution"
make sense?
On Thu, Nov 3, 2016 at 12:52 PM, Cencheng Shen cshen6@jhu.edu wrote:
now we should really include the node contribution methodology / simulation / real data into section 2/3/4 respectively!
On Thu, Nov 3, 2016 at 12:49 PM, Cencheng Shen cshen6@jhu.edu wrote:
great! wonderful! that means we are right here!
On Thu, Nov 3, 2016 at 12:38 PM, Youjin Lee notifications@github.com wrote:
@jovo https://github.com/jovo @cshen6 https://github.com/cshen6 contr.pdf https://github.com/neurodata/Multiscale-Network-Test/files/ 569581/contr.pdf
It looks like column sum of statistics matrix works as good as |both sum|. Since I have no clue how to interpret |both sum|, it would be better to use column sum. It seems that row sum could be significantly negative under dependence?
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/neurodata/Multiscale-Network-Test/ issues/16#issuecomment-258199039, or mute the thread https://github.com/notifications/unsubscribe-auth/ALX0y2hYrL-Uqvrv_ egKNyxxyzHWWmrEks5q6g4hgaJpZM4KhVVc .
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/neurodata/Multiscale-Network-Test/issues/16#issuecomment-258206245, or mute the thread https://github.com/notifications/unsubscribe-auth/AACjckJ22jPjJjuj_XIhCXNguMEWm5CBks5q6hOTgaJpZM4KhVVc .
the glass is all full: half water, half air. neurodata.io, jovo calendar https://calendar.google.com/calendar/embed?src=joshuav%40gmail.com&ctz=America/New_York
(Xv,Zv) ~ MVN( mu, [s, Rv; Rv, s])
plot estimated contribution rank vs true rank
or binary, and plot something reasonable