301 related articles for article (PubMed ID: 17500684)
1. Mitigating the effects of measurement noise on Granger causality.
Nalatore H; Ding M; Rangarajan G
Phys Rev E Stat Nonlin Soft Matter Phys; 2007 Mar; 75(3 Pt 1):031123. PubMed ID: 17500684
[TBL] [Abstract][Full Text] [Related]
2. Effect of measurement noise on Granger causality.
Nalatore H; Sasikumar N; Rangarajan G
Phys Rev E Stat Nonlin Soft Matter Phys; 2014 Dec; 90(6):062127. PubMed ID: 25615064
[TBL] [Abstract][Full Text] [Related]
3. Assessing the strength of directed influences among neural signals: an approach to noisy data.
Sommerlade L; Thiel M; Mader M; Mader W; Timmer J; Platt B; Schelter B
J Neurosci Methods; 2015 Jan; 239():47-64. PubMed ID: 25256644
[TBL] [Abstract][Full Text] [Related]
4. A copula approach to assessing Granger causality.
Hu M; Liang H
Neuroimage; 2014 Oct; 100():125-34. PubMed ID: 24945669
[TBL] [Abstract][Full Text] [Related]
5. How to detect the Granger-causal flow direction in the presence of additive noise?
Vinck M; Huurdeman L; Bosman CA; Fries P; Battaglia FP; Pennartz CM; Tiesinga PH
Neuroimage; 2015 Mar; 108():301-18. PubMed ID: 25514516
[TBL] [Abstract][Full Text] [Related]
6. The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference.
Barnett L; Seth AK
J Neurosci Methods; 2014 Feb; 223():50-68. PubMed ID: 24200508
[TBL] [Abstract][Full Text] [Related]
7. Causal inference with multiple time series: principles and problems.
Eichler M
Philos Trans A Math Phys Eng Sci; 2013 Aug; 371(1997):20110613. PubMed ID: 23858481
[TBL] [Abstract][Full Text] [Related]
8. Componential Granger causality, and its application to identifying the source and mechanisms of the top-down biased activation that controls attention to affective vs sensory processing.
Ge T; Feng J; Grabenhorst F; Rolls ET
Neuroimage; 2012 Jan; 59(2):1846-58. PubMed ID: 21888980
[TBL] [Abstract][Full Text] [Related]
9. Monte-Carlo sure: a black-box optimization of regularization parameters for general denoising algorithms.
Ramani S; Blu T; Unser M
IEEE Trans Image Process; 2008 Sep; 17(9):1540-54. PubMed ID: 18701393
[TBL] [Abstract][Full Text] [Related]
10. A note on inferring acyclic network structures using Granger causality tests.
Nagarajan R
Int J Biostat; 2009 Mar; 5(1):Article 10. PubMed ID: 20224631
[TBL] [Abstract][Full Text] [Related]
11. Adaptive kernel-based image denoising employing semi-parametric regularization.
Bouboulis P; Slavakis K; Theodoridis S
IEEE Trans Image Process; 2010 Jun; 19(6):1465-79. PubMed ID: 20236901
[TBL] [Abstract][Full Text] [Related]
12. Granger causality for state-space models.
Barnett L; Seth AK
Phys Rev E Stat Nonlin Soft Matter Phys; 2015 Apr; 91(4):040101. PubMed ID: 25974424
[TBL] [Abstract][Full Text] [Related]
13. An efficient method for nonnegatively constrained Total Variation-based denoising of medical images corrupted by Poisson noise.
Landi G; Piccolomini EL
Comput Med Imaging Graph; 2012 Jan; 36(1):38-46. PubMed ID: 21821394
[TBL] [Abstract][Full Text] [Related]
14. Granger causality revisited.
Friston KJ; Bastos AM; Oswal A; van Wijk B; Richter C; Litvak V
Neuroimage; 2014 Nov; 101():796-808. PubMed ID: 25003817
[TBL] [Abstract][Full Text] [Related]
15. Granger causality and information flow in multivariate processes.
Blinowska KJ; Kuś R; Kamiński M
Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Nov; 70(5 Pt 1):050902. PubMed ID: 15600583
[TBL] [Abstract][Full Text] [Related]
16. Denoising neural data with state-space smoothing: method and application.
Nalatore H; Ding M; Rangarajan G
J Neurosci Methods; 2009 Apr; 179(1):131-41. PubMed ID: 19428519
[TBL] [Abstract][Full Text] [Related]
17. The effect of filtering on Granger causality based multivariate causality measures.
Florin E; Gross J; Pfeifer J; Fink GR; Timmermann L
Neuroimage; 2010 Apr; 50(2):577-88. PubMed ID: 20026279
[TBL] [Abstract][Full Text] [Related]
18. Kernel canonical-correlation Granger causality for multiple time series.
Wu G; Duan X; Liao W; Gao Q; Chen H
Phys Rev E Stat Nonlin Soft Matter Phys; 2011 Apr; 83(4 Pt 1):041921. PubMed ID: 21599214
[TBL] [Abstract][Full Text] [Related]
19. Spatio-temporal Granger causality: a new framework.
Luo Q; Lu W; Cheng W; Valdes-Sosa PA; Wen X; Ding M; Feng J
Neuroimage; 2013 Oct; 79():241-63. PubMed ID: 23643924
[TBL] [Abstract][Full Text] [Related]
20. Spatially adapted total variation model to remove multiplicative noise.
Chen DQ; Cheng LZ
IEEE Trans Image Process; 2012 Apr; 21(4):1650-62. PubMed ID: 22020685
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
