-
2
-
-
3242892070
-
Commentary the hormone replacement-coronary heart disease conundruml is this the death of observational epidemiology?
-
Lawlor, D. A., Davey, S. G. & Ebrahim, S. Commentary: the hormone replacement-coronary heart disease conundruml is this the death of observational epidemiology? Int. J. Epidemiol. 33, 464-467 (2004).
-
(2004)
Int. J. Epidemiol.
, vol.33
, pp. 464-467
-
-
Lawlor, D.A.1
Davey, S.G.2
Ebrahim, S.3
-
3
-
-
0003398906
-
-
Cambridge University Press, Cambridge, UK
-
Pearl, J. Causality: Models, Reasoning, and Inference (Cambridge University Press, Cambridge, UK, 2000).
-
(2000)
Causality Models, Reasoning, and Inference
-
-
Pearl, J.1
-
4
-
-
78249257357
-
-
Oxford University Press, Oxford UK
-
Beebee, H., Hitchcock, C. & Menzies, P. The Oxford Handbook of Causation (Oxford University Press, Oxford, UK, 2009).
-
(2009)
The Oxford Handbook of Causation
-
-
Beebee, H.1
Hitchcock, C.2
Menzies, P.3
-
5
-
-
0037446589
-
Statistical assessment of nonlinear causality: Application to epilepticeeg signals
-
Chavez, M., Martinerie, J. & Le Van Quyen, M. Statistical assessment of nonlinear causality: application to epileptic eeg signals. J. Neurosci. Meth. 124, 113-128 (2003).
-
(2003)
J. Neurosci. Meth.
, vol.124
, pp. 113-128
-
-
Chavez, M.1
Martinerie, J.2
Le Van Quyen, M.3
-
6
-
-
27844612542
-
Nonlinear multivariate analysis of neurophysiological signals
-
Pereda, E., Quiroga, R. Q. & Bhattacharya, J. Nonlinear multivariate analysis of neurophysiological signals. Prog. Neurobiol. 77, 1-37 (2005).
-
(2005)
Prog. Neurobiol.
, vol.77
, pp. 1-37
-
-
Pereda, E.1
Quiroga, R.Q.2
Bhattacharya, J.3
-
7
-
-
31344435870
-
Frequency decomposition of conditional granger causality and application to multivariate neural field potential data
-
Chen, Y., Bressler, S. L. & Ding, M. Frequency decomposition of conditional granger causality and application to multivariate neural field potential data. J. Neurosci. Meth. 150, 228-237 (2006).
-
(2006)
J. Neurosci. Meth.
, vol.150
, pp. 228-237
-
-
Chen, Y.1
Bressler, S.L.2
Ding, M.3
-
8
-
-
21844437387
-
Is granger causality analysis appropriate to investigate the relationship between atmospheric concentration of carbon dioxide and global surface air temperature?
-
Triacca, U. Is granger causality analysis appropriate to investigate the relationship between atmospheric concentration of carbon dioxide and global surface air temperature? Theor. Appl. Climatol. 81, 133-135 (2005).
-
(2005)
Theor. Appl. Climatol.
, vol.81
, pp. 133-135
-
-
Triacca, U.1
-
9
-
-
84890563647
-
Anthropogenic and natural causes of climate change
-
Stern, D. I. & Kaufmann, R. K. Anthropogenic and natural causes of climate change. Climatic. Change. 122, 257-269 (2014).
-
(2014)
Climatic. Change.
, vol.122
, pp. 257-269
-
-
Stern, D.I.1
Kaufmann, R.K.2
-
10
-
-
34548315931
-
Why us money does not cause us output, but does cause Hong Kong output
-
Rodrguez, G. & Rowe, N. Why us money does not cause us output, but does cause hong kong output. J. Int. Money. Financ. 26, 1174-1186 (2007).
-
(2007)
J. Int. Money. Financ.
, vol.26
, pp. 1174-1186
-
-
Rodrguez, G.1
Rowe, N.2
-
11
-
-
84878944640
-
Causality between energy and output in the long-run
-
Stern, D. I. & Enflo, K. Causality between energy and output in the long-run. Energ. Econ. 39, 135-146 (2013).
-
(2013)
Energ. Econ.
, vol.39
, pp. 135-146
-
-
Stern, D.I.1
Enflo, K.2
-
12
-
-
0033637906
-
Testing for nonlinear granger causality from fundamentals to exchange rates in the erm
-
Ma, Y. & Kanas, A. Testing for nonlinear granger causality from fundamentals to exchange rates in the erm. J. Int. Finance Markets Insti. Money 10, 69-82 (2000).
-
(2000)
J. Int. Finance Markets Insti. Money
, vol.10
, pp. 69-82
-
-
Ma, Y.1
Kanas, A.2
-
13
-
-
84867864222
-
Detecting causality in complex ecosystems
-
Sugihara, G., et al. Detecting causality in complex ecosystems. Science 338, 496-500 (2012).
-
(2012)
Science
, vol.338
, pp. 496-500
-
-
Sugihara, G.1
-
14
-
-
20644470598
-
The mechanism of stochastic resonance
-
Benzi, R., Sutera, A. & Vulpiani, A. The mechanism of stochastic resonance. J. Phys. A-Math. Gen. 14, L453-L457 (1981).
-
(1981)
J. Phys. A-Math. Gen.
, vol.14
, pp. L453-L457
-
-
Benzi, R.1
Sutera, A.2
Vulpiani, A.3
-
15
-
-
0039065101
-
Stochastic resonance
-
Gammaitoni, L., Hanggi, P., Jung, P. & Marchesoni, F. Stochastic resonance. Rev. Mod. Phys. 70, 223-287 (1998).
-
(1998)
Rev. Mod. Phys.
, vol.70
, pp. 223-287
-
-
Gammaitoni, L.1
Hanggi, P.2
Jung, P.3
Marchesoni, F.4
-
16
-
-
0000351727
-
Investigating causal relations by econometric models and cross-spectral methods
-
Granger, C. W. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37, 424-438 (1969).
-
(1969)
Econometrica
, vol.37
, pp. 424-438
-
-
Granger, C.W.1
-
17
-
-
12944275674
-
Measuring information transfer
-
Schreiber, T. Measuring information transfer. Phys. Rev. lett. 85, 461-464 (2000).
-
(2000)
Phys. Rev. Lett.
, vol.85
, pp. 461-464
-
-
Schreiber, T.1
-
18
-
-
19244387027
-
Analyzing multiple nonlinear time series with extended granger causality
-
Chen, Y., Rangarajan, G., Feng, J. & Ding, M. Analyzing multiple nonlinear time series with extended granger causality. Phys. Lett. A 324, 26-35 (2004).
-
(2004)
Phys. Lett. A
, vol.324
, pp. 26-35
-
-
Chen, Y.1
Rangarajan, G.2
Feng, J.3
Ding, M.4
-
19
-
-
41349110615
-
Radial basis function approach to nonlinear granger causality of time series
-
Ancona, N., Marinazzo, D. & Stramaglia, S. Radial basis function approach to nonlinear granger causality of time series. Phys. Rev. E 70, 056221 (2004).
-
(2004)
Phys. Rev. e
, vol.70
, pp. 056221
-
-
Ancona, N.1
Marinazzo, D.2
Stramaglia, S.3
-
20
-
-
42149163816
-
Kernel method for nonlinear granger causality
-
Marinazzo, D., Pellicoro, M. & Stramaglia, S. Kernel method for nonlinear granger causality. Phys. Rev. Lett. 100, 144103 (2008).
-
(2008)
Phys. Rev. Lett.
, vol.100
, pp. 144103
-
-
Marinazzo, D.1
Pellicoro, M.2
Stramaglia, S.3
-
21
-
-
84919477258
-
Effect of measurement noise on granger causality
-
Nalatore, H., Sasikumar, N. & Rangarajan, G. Effect of measurement noise on granger causality. Phys. Rev. E 90, 062127 (2014).
-
(2014)
Phys. Rev. e
, vol.90
, pp. 062127
-
-
Nalatore, H.1
Sasikumar, N.2
Rangarajan, G.3
-
22
-
-
71549116419
-
Granger causality and transfer entropy are equivalent for Gaussian variables
-
Barnett, L., Barrett, A. B. & Seth, A. K. Granger causality and transfer entropy are equivalent for gaussian variables. Phys. Rev. lett. 103, 238701 (2009).
-
(2009)
Phys. Rev. Lett.
, vol.103
, pp. 238701
-
-
Barnett, L.1
Barrett, A.B.2
Seth, A.K.3
-
23
-
-
84985018992
-
Identifying coupling structure in complex systems through the optimal causation entropy principle
-
Sun, J., Cafaro, C. & Bollt, E. M. Identifying coupling structure in complex systems through the optimal causation entropy principle. Entropy 16, 3416-3433 (2014).
-
(2014)
Entropy
, vol.16
, pp. 3416-3433
-
-
Sun, J.1
Cafaro, C.2
Bollt, E.M.3
-
24
-
-
84927127466
-
Causation entropy from symbolic representations of dynamical systems
-
Cafaro, C., Lord, W. M., Sun, J. & Bollt, E. M. Causation entropy from symbolic representations of dynamical systems. Chaos 25, 043106 (2015).
-
(2015)
Chaos
, vol.25
, pp. 043106
-
-
Cafaro, C.1
Lord, W.M.2
Sun, J.3
Bollt, E.M.4
-
25
-
-
84925293776
-
Causal network inference by optimal causation entropy
-
Sun, J., Taylor, D. & Bollt, E. M. Causal network inference by optimal causation entropy. SIAM J. Dyn. Syst. 14, 73-106 (2015).
-
(2015)
SIAM J. Dyn. Syst.
, vol.14
, pp. 73-106
-
-
Sun, J.1
Taylor, D.2
Bollt, E.M.3
-
26
-
-
0000779360
-
Detecting strange attractors in fluid turbulence
-
eds. Rand, D. & Young, L. S. Springer-Verlag
-
Takens, F. Detecting strange attractors in fluid turbulence. Lecture Notes in Mathematics Vol. 898 (eds. Rand, D. & Young, L. S.) 366-381 (Springer-Verlag, 1981).
-
(1981)
Lecture Notes in Mathematics
, vol.898
, pp. 366-381
-
-
Takens, F.1
-
27
-
-
33751278790
-
Embedology
-
Sauer, T., Yorke, J. A. & Casdagli, M. Embedology. J. Stat. Phys. 65, 579-616 (1991).
-
(1991)
J. Stat. Phys.
, vol.65
, pp. 579-616
-
-
Sauer, T.1
Yorke, J.A.2
Casdagli, M.3
-
29
-
-
79953660291
-
Generalized theorems for nonlinear state space reconstruction
-
Deyle, E. R. & Sugihara, G. Generalized theorems for nonlinear state space reconstruction. PLoS One 6, e18295 (2011).
-
(2011)
PLoS One
, vol.6
, pp. e18295
-
-
Deyle, E.R.1
Sugihara, G.2
-
31
-
-
84943368888
-
-
arXiv 1407.3809
-
Wismüller, A., Wang, X.-X., D'Souza, A. M. & Nagarajan, N. B. A framework for exploring non-linear functional connectivity and causality in the human brain: mutual connectivity analysis (mca) of resting-state functional mri with convergent cross-mapping and non-metric xlustering. arXiv:1407.3809 (2014).
-
(2014)
A Framework for Exploring Non-linear Functional Connectivity and Causality in the Human Brain: Mutual Connectivity Analysis (Mca) of Resting-state Functional Mri with Convergent Cross-mapping and Non-metric Xlustering
-
-
Wismüller, A.1
Wang, X.-X.2
D'Souza, A.M.3
Nagarajan, N.B.4
-
32
-
-
85027065675
-
-
Tech. Rep., SEDAR, SEDAR38-AW-04. SEDAR, North Charleston, SC
-
Harford, W., et al. Can climate explain temporal trends in king mackerel (scomberomorus cavalla) catch-per-unit-effort and landings? Tech. Rep., SEDAR, SEDAR38-AW-04. SEDAR, North Charleston, SC (2014).
-
(2014)
Can Climate Explain Temporal Trends in King Mackerel (Scomberomorus Cavalla) Catch-per-unit-effort and Landings?
-
-
Harford, W.1
-
33
-
-
84964360904
-
Empirically testing for dynamic causality between promotions and sales beer promotions and sales in England
-
Huffaker, R. & Fearne, A. Empirically testing for dynamic causality between promotions and sales beer promotions and sales in england. Proc. Food. Syst, Dyn 270-274 (2014).
-
(2014)
Proc. Food. Syst, Dyn
, pp. 270-274
-
-
Huffaker, R.1
Fearne, A.2
-
34
-
-
84964381768
-
Convergent cross mapping: A promising technique for cerebral autoregulation estimation
-
Heskamp, L., Meel-van den Abeelen, A. S., Lagro, J. & Claassen, J. A. Convergent cross mapping: a promising technique for cerebral autoregulation estimation. IJCNMH 1 (Suppl. 1), S20 (2014).
-
(2014)
IJCNMH
, vol.1
, pp. S20
-
-
Heskamp, L.1
Meel-Van Den Abeelen, A.S.2
Lagro, J.3
Claassen, J.A.4
-
35
-
-
0034702751
-
Testing for predator dependence in predator-prey dynamics: A non-parametric approach
-
Jost, C. & Ellner, S. P. Testing for predator dependence in predator-prey dynamics: a non-parametric approach. Proc. Biol. Sci 267, 1611-1620 (2000).
-
(2000)
Proc. Biol. Sci
, vol.267
, pp. 1611-1620
-
-
Jost, C.1
Ellner, S.P.2
-
36
-
-
0000386086
-
Coexistence in laboratory populations of paramecium aurelia and its predator didinium nasutum
-
Luckinbill, L. S. Coexistence in laboratory populations of paramecium aurelia and its predator didinium nasutum. Ecology 54, 1320-1327 (1973).
-
(1973)
Ecology
, vol.54
, pp. 1320-1327
-
-
Luckinbill, L.S.1
-
39
-
-
0025199496
-
Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series
-
Sugihara, G. & May, R. M. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature 344, 734-741 (1990).
-
(1990)
Nature
, vol.344
, pp. 734-741
-
-
Sugihara, G.1
May, R.M.2
-
40
-
-
0001375337
-
Nonlinear forecasting for the classification of natural time series
-
Sugihara, G. Nonlinear forecasting for the classification of natural time series. Philos. T. Roy. Soc. A. 348, 477-495 (1994).
-
(1994)
Philos. T. Roy. Soc. A.
, vol.348
, pp. 477-495
-
-
Sugihara, G.1
-
41
-
-
0043016516
-
An upper bound for the proper delay time in chaotic time series analysis
-
Lai, Y.-C., Lerner, D. & Hayden, R. An upper bound for the proper delay time in chaotic time series analysis. Phys. Lett. A 218, 30-34 (1996).
-
(1996)
Phys. Lett. A
, vol.218
, pp. 30-34
-
-
Lai, Y.-C.1
Lerner, D.2
Hayden, R.3
-
42
-
-
0042379778
-
Recent developments in chaotic time series analysis
-
Lai, Y.-C. & Ye, N. Recent developments in chaotic time series analysis. Int. J. Bif. Chaos 13, 1383-1422 (2003).
-
(2003)
Int. J. Bif. Chaos
, vol.13
, pp. 1383-1422
-
-
Lai, Y.-C.1
Ye, N.2
-
43
-
-
34548696055
-
Independent coordinates for strange attractors from mutual information
-
Fraser, A. M. & Swinney, H. L. Independent coordinates for strange attractors from mutual information. Phys. Rev. A 33, 1134-1140 (1986).
-
(1986)
Phys. Rev. A
, vol.33
, pp. 1134-1140
-
-
Fraser, A.M.1
Swinney, H.L.2
-
44
-
-
33646981873
-
Characterization of strange attractors
-
Grassberger, P. & Procaccia, I. Characterization of strange attractors. Phys. Rev. Lett. 50, 346-348 (1983).
-
(1983)
Phys. Rev. Lett.
, vol.50
, pp. 346-348
-
-
Grassberger, P.1
Procaccia, I.2
-
45
-
-
0001796584
-
Data requirements for reliable estimation of correlation dimensions
-
Springer
-
Albano, A.-M., Mees, A., De Guzman, G. & Rapp, P. Data requirements for reliable estimation of correlation dimensions. In Chaos in Biological Systems, 207-220 (Springer, 1987).
-
(1987)
In Chaos in Biological Systems
, pp. 207-220
-
-
Albano, A.-M.1
Mees, A.2
De Guzman, G.3
Rapp, P.4
-
46
-
-
0001413326
-
Spurious dimension from correlation algorithms applied to limited time series data
-
Theiler, J. Spurious dimension from correlation algorithms applied to limited time series data. Phys. Rev. A 34, 2427-2432 (1986).
-
(1986)
Phys. Rev. A
, vol.34
, pp. 2427-2432
-
-
Theiler, J.1
-
47
-
-
0000822478
-
Plateau onset for correlation dimension: When does it occur?
-
Ding, M., Grebogi, C., Ott, E., Sauer, T. D. & Yorke, J. A. Plateau onset for correlation dimension: when does it occur? Phys. Rev. Lett. 70, 3872-3875 (1993).
-
(1993)
Phys. Rev. Lett.
, vol.70
, pp. 3872-3875
-
-
Ding, M.1
Grebogi, C.2
Ott, E.3
Sauer, T.D.4
Yorke, J.A.5
-
48
-
-
0034834522
-
Observations on the application of correlation dimension and correlation integral to prediction of seizures
-
Osorio, I., Harrison, M. A., Lai, Y.-C. & Frei, M. Observations on the application of correlation dimension and correlation integral to prediction of seizures. J. Clin. Neurophysio. 18, 269-274 (2001).
-
(2001)
J. Clin. Neurophysio.
, vol.18
, pp. 269-274
-
-
Osorio, I.1
Harrison, M.A.2
Lai, Y.-C.3
Frei, M.4
-
49
-
-
31144446642
-
Correlation dimension and integral do not predict epileptic seizures
-
Harrison, M. A. F., Osorio, I., Frei, M. G., Asuri, S. & Lai, Y.-C. Correlation dimension and integral do not predict epileptic seizures. Chaos 15, 033106 (2005).
-
(2005)
Chaos
, vol.15
, pp. 033106
-
-
Harrison, M.A.F.1
Osorio, I.2
Frei, M.G.3
Asuri, S.4
Lai, Y.-C.5
-
50
-
-
35949006791
-
Determining embedding dimension for phase-space reconstruction using a geometrical construction
-
Kennel, M. B., Brown, R. & Abarbanel, H. D. Determining embedding dimension for phase-space reconstruction using a geometrical construction. Phys. Rev. A 45, 3403-3411 (1992).
-
(1992)
Phys. Rev. A
, vol.45
, pp. 3403-3411
-
-
Kennel, M.B.1
Brown, R.2
Abarbanel, H.D.3
-
52
-
-
45149144372
-
Nonlinear prediction of chaotic time series
-
Casdagli, M. Nonlinear prediction of chaotic time series. Physica D 35, 335-356 (1989).
-
(1989)
Physica D
, vol.35
, pp. 335-356
-
-
Casdagli, M.1
-
53
-
-
44949273552
-
State space reconstruction in the presence of noise
-
Casdagli, M., Eubank, S., Farmer, J. D. & Gibson, J. State space reconstruction in the presence of noise. Physica D 51, 52-98 (1991).
-
(1991)
Physica D
, vol.51
, pp. 52-98
-
-
Casdagli, M.1
Eubank, S.2
Farmer, J.D.3
Gibson, J.4
|