René's URL Explorer Experiment


Title: asymppdc (K Sameshima & LA Baccalá) · GitHub

Open Graph Title: asymppdc - Overview

X Title: asymppdc - Overview

Description: LAB & KS have a common interest in biological time series analysis and developed Partial Directed Coherence to deal with connectivity in the frequency domain. - asymppdc

Open Graph Description: LAB & KS have a common interest in biological time series analysis and developed Partial Directed Coherence to deal with connectivity in the frequency domain. - asymppdc

X Description: LAB & KS have a common interest in biological time series analysis and developed Partial Directed Coherence to deal with connectivity in the frequency domain. - asymppdc

Opengraph URL: https://github.com/asymppdc

X: @github

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asympPDChttps://patch-diff.githubusercontent.com/asymppdc/asympPDC
MATLAB and Octave asympPDC Package https://github.com/asymppdc/asympPDC
https://www.mathworks.com/matlabcentral/fileexchange/116290-asymppdc
https://patch-diff.githubusercontent.com/asymppdc#matlab-and-octave-asymppdc-package--
https://patch-diff.githubusercontent.com/asymppdc#new-december-2022
FastAsympAlg.mhttps://github.com/Farnaz-codes/FAA
Rezaei et al. (2022)https://doi.org/10.1016/j.sigpro.2022.108822
https://patch-diff.githubusercontent.com/asymppdc#installation-and-usage
https://patch-diff.githubusercontent.com/asymppdc#schematic-view-of-connectivity-measures-evolution
https://patch-diff.githubusercontent.com/asymppdc/asympPDC/blob/main/connectivity_measures_in_asymppdc.png
Akaike 1968https://doi.org/10.1007/BF02911655
Granger 1969https://www.jstor.org/stable/1912791
Gersch and Goddard 1970https://doi.org/10.1126/science.169.3946.701
Sims 1972https://www.jstor.org/stable/1806097
Geweke 1979https://doi.org/10.1016/0304-4076(78)90067-2
Geweke 1982https://doi.org/10.2307/2287238
Geweke 1984https://doi.org/10.2307/2288723
Kamiński and Blinowska 1991https://doi.org/10.1007/bf00198091
Hosoya 1991https://doi.org/10.1007/BF01192551
2005https://doi.org/10.1007/978-3-540-27752-1
Hosoya 1994https://github.com/asymppdc/asympPDC/blob/main/
Baccalá et al. 1998https://github.com/asymppdc/asympPDC/blob/main/
Baccalá and Sameshima 2001https://doi.org/10.1007/PL00007990
Schelter et al. 2005https://doi.org/10.1016/j.jneumeth.2005.09.001
Baccalá et al. 2006https://doi.org/10.1002/9783527609970.ch16
Takahashi et al. 2007https://doi.org/10.1080/02664760701593065
Baccalá et al. 2007https://doi.org/10.1109/ICDSP.2007.4288544
de Brito et al. 2010https://doi.org/10.1109/IEMBS.2010.5626856
Takahashi et al. 2010https://doi.org/10.1007/s00422-010-0410-x
Baccalá et al. 2013https://doi.org/10.1098/rsta.2012.0158
Baccalá et al. 2016https://doi.org/10.1109/TBME.2016.2550199
https://patch-diff.githubusercontent.com/asymppdc#getting-started-work-flow
https://patch-diff.githubusercontent.com/asymppdc#examples
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https://patch-diff.githubusercontent.com/asymppdc#a-the-asymppdc-package-implementation-is-based-mainly-on-the-following-articles-and-books
https://doi.org/10.1007/PL00007990https://doi.org/10.1007/PL00007990
https://doi.org/10.1080/02664760701593065https://doi.org/10.1080/02664760701593065
https://doi.org/10.1098/rsta.2012.0158https://doi.org/10.1098/rsta.2012.0158
https://doi.org/10.1007/bf00198091https://doi.org/10.1007/bf00198091
https://doi.org/10.1109/TBME.2016.2550199https://doi.org/10.1109/TBME.2016.2550199
https://doi.org/10.1007/978-3-540-27752-1https://doi.org/10.1007/978-3-540-27752-1
https://doi.org/10.1145/382043.382316https://doi.org/10.1145/382043.382316
https://doi.org/10.1201/b16550https://doi.org/10.1201/b16550
https://patch-diff.githubusercontent.com/asymppdc#b-historical-development-biological-cybernetics-60th-anniversary-retrospective
https://doi.org/10.1007/s00422-021-00880-yhttps://doi.org/10.1007/s00422-021-00880-y
https://patch-diff.githubusercontent.com/asymppdc#c-things-to-come-total-pdcdtf-with-asymptotic-statistics-spectral-factorization-and-faster-pdcdtf-estimation-algorithms---
https://doi.org/10.3390/e23081037https://doi.org/10.3390/e23081037
https://doi.org/10.3389/fnetp.2022.845327https://doi.org/10.3389/fnetp.2022.845327
https://doi.org/10.1016/j.sigpro.2022.108822https://doi.org/10.1016/j.sigpro.2022.108822
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