-
1
-
-
0000779360
-
Detecting strange attractors in turbulence
-
Takens F., Detecting strange attractors in turbulence. Lecture Notes in Mathematics. 898:1981;366-381.
-
(1981)
Lecture Notes in Mathematics
, vol.898
, pp. 366-381
-
-
Takens, F.1
-
4
-
-
0000497870
-
Embedding as a modelling problem
-
Judd K., Mees A., Embedding as a modelling problem. Physica D. 120:1998;273-286.
-
(1998)
Physica D
, vol.120
, pp. 273-286
-
-
Judd, K.1
Mees, A.2
-
5
-
-
0007287463
-
Delay time window and plateau onset of the correlation dimension for small data sets
-
Kim H.S., Eykholt R., Salas J.D., Delay time window and plateau onset of the correlation dimension for small data sets. Phys. Rev. E. 58:1998;5676-5682.
-
(1998)
Phys. Rev. E
, vol.58
, pp. 5676-5682
-
-
Kim, H.S.1
Eykholt, R.2
Salas, J.D.3
-
6
-
-
0000822478
-
Plateau onset for correlation dimension: When does it occur?
-
Ding M., Grebogi C., Ott E., Sauer T., Yorke J.A., Plateau onset for correlation dimension: when does it occur? Phys. Rev. Lett. 70:1993;3872-3875.
-
(1993)
Phys. Rev. Lett.
, vol.70
, pp. 3872-3875
-
-
Ding, M.1
Grebogi, C.2
Ott, E.3
Sauer, T.4
Yorke, J.A.5
-
7
-
-
35949006791
-
Determining embedding dimension for phase-space reconstruction using a geometric construction
-
Kennel M.B., Brown R., Abarbanel H.D.I., Determining embedding dimension for phase-space reconstruction using a geometric construction. Phys. Rev. A. 45:1992;3403-3411.
-
(1992)
Phys. Rev. A
, vol.45
, pp. 3403-3411
-
-
Kennel, M.B.1
Brown, R.2
Abarbanel, H.D.I.3
-
8
-
-
0002587376
-
Effective scaling regime for computing the correlation dimension from chaotic time series
-
Lai Y.-C., Lerner D., Effective scaling regime for computing the correlation dimension from chaotic time series. Physica D. 115:1998;1-18.
-
(1998)
Physica D
, vol.115
, pp. 1-18
-
-
Lai, Y.-C.1
Lerner, D.2
-
9
-
-
0003566244
-
-
The MIT Press, Cambridge, Massachusetts
-
W.A. Brock, D.A. Hsieh, B. LeBaron, Nonlinear Dynamics, Chaos and Instability, The MIT Press, Cambridge, Massachusetts, 1991.
-
(1991)
Nonlinear Dynamics, Chaos and Instability
-
-
Brock, W.A.1
Hsieh, D.A.2
LeBaron, B.3
-
10
-
-
41349101486
-
Minimum description length neural networks for time series prediction
-
M. Small, C.K. Tse, Minimum description length neural networks for time series prediction, Phys. Rev. E 66 (2002) 066706 (Reprinted in Virtual Journal of Biological Physics Research 4 (2002)).
-
(2002)
Phys. Rev. E
, vol.66
, pp. 066706
-
-
Small, M.1
Tse, C.K.2
-
11
-
-
41349101486
-
-
Reprinted in
-
M. Small, C.K. Tse, Minimum description length neural networks for time series prediction, Phys. Rev. E 66 (2002) 066706 (Reprinted in Virtual Journal of Biological Physics Research 4 (2002)).
-
(2002)
Virtual Journal of Biological Physics Research
, vol.4
-
-
-
12
-
-
0001025418
-
Bayesian interpolation
-
MacKay D.J.C., Bayesian interpolation. Neural Comp. 4:1992;415-447.
-
(1992)
Neural Comp.
, vol.4
, pp. 415-447
-
-
Mackay, D.J.C.1
-
14
-
-
0001263962
-
On selecting models for nonlinear time series
-
Judd K., Mees A., On selecting models for nonlinear time series. Physica D. 82:1995;426-444.
-
(1995)
Physica D
, vol.82
, pp. 426-444
-
-
Judd, K.1
Mees, A.2
-
15
-
-
0000611452
-
Dynamical systems and tesselations: Detecting determinism in data
-
Mees A.I., Dynamical systems and tesselations: detecting determinism in data. Int. J. Bifurcat. Chaos. 1:1991;777-794.
-
(1991)
Int. J. Bifurcat. Chaos
, vol.1
, pp. 777-794
-
-
Mees, A.I.1
-
16
-
-
0000810560
-
Practical implementation of nonlinear time series methods: The TISEAN package
-
Hegger R., Kantz H., Schreiber T., Practical implementation of nonlinear time series methods: the TISEAN package. Chaos. 9:1999;413-435.
-
(1999)
Chaos
, vol.9
, pp. 413-435
-
-
Hegger, R.1
Kantz, H.2
Schreiber, T.3
-
17
-
-
0035968844
-
A surrogate test for pseudo-periodic time series data
-
Small M., Yu D., Harrison R.G., A surrogate test for pseudo-periodic time series data. Phys. Rev. Lett. 87:2001;188101.
-
(2001)
Phys. Rev. Lett.
, vol.87
, pp. 188101
-
-
Small, M.1
Yu, D.2
Harrison, R.G.3
-
19
-
-
0001238862
-
Efficient implementation of the Gaussian kernel algorithm in estimating invariants and noise level from noisy time series data
-
Yu D., Small M., Harrison R.G., Diks C., Efficient implementation of the Gaussian kernel algorithm in estimating invariants and noise level from noisy time series data. Phys. Rev. E. 61:2000;3750-3756.
-
(2000)
Phys. Rev. E
, vol.61
, pp. 3750-3756
-
-
Yu, D.1
Small, M.2
Harrison, R.G.3
Diks, C.4
-
21
-
-
0034474728
-
Automatic identification and recording of cardiac arrhythmia
-
Small M., Yu D., Grubb N., Simonotto J., Fox K., Harrison R.G., Automatic identification and recording of cardiac arrhythmia. Comput. Cardiol. 27:2000;355-358.
-
(2000)
Comput. Cardiol.
, vol.27
, pp. 355-358
-
-
Small, M.1
Yu, D.2
Grubb, N.3
Simonotto, J.4
Fox, K.5
Harrison, R.G.6
-
22
-
-
0036680906
-
Uncovering nonlinear structure in human ECG recordings
-
Small M., Yu D., Simonotto J., Harrison R.G., Grubb N., Fox K.A.A., Uncovering nonlinear structure in human ECG recordings. Chaos Solitons Fractals. 13:2001;1755-1762.
-
(2001)
Chaos Solitons Fractals
, vol.13
, pp. 1755-1762
-
-
Small, M.1
Yu, D.2
Simonotto, J.3
Harrison, R.G.4
Grubb, N.5
Fox, K.A.A.6
-
23
-
-
0000358422
-
Time series prediction by using a connectionist network with internal delay lines
-
A.S Weigend, N.A. Gershenfeld (Eds.), Time Series Prediction: Forecasting the Future and Understanding the Past, Santa Fe Institute/Addison-Wesley, Reading, MA
-
E.A. Wan, Time series prediction by using a connectionist network with internal delay lines, in: A.S Weigend, N.A. Gershenfeld (Eds.), Time Series Prediction: Forecasting the Future and Understanding the Past, vol. XV of Studies in the Sciences of Complexity, Santa Fe Institute/Addison-Wesley, Reading, MA, 1993, pp. 195-217.
-
(1993)
Studies in the Sciences of Complexity
, vol.15
, pp. 195-217
-
-
Wan, E.A.1
-
24
-
-
0000497094
-
Time series prediction by using delay coordinate embedding
-
A.S Weigend, N.A. Gershenfeld (Eds.), Time Series Prediction: Forecasting the Future and Understanding the Past, Santa Fe Institute/Addison-Wesley, Reading, MA
-
T. Sauer, Time series prediction by using delay coordinate embedding, in: A.S Weigend, N.A. Gershenfeld (Eds.), Time Series Prediction: Forecasting the Future and Understanding the Past, vol. XV of Studies in the Sciences of Complexity, Santa Fe Institute/Addison-Wesley, Reading, MA, 1993, pp. 175-193.
-
(1993)
Studies in the Sciences of Complexity
, vol.15
, pp. 175-193
-
-
Sauer, T.1
-
25
-
-
0001874436
-
Practical method for determining the minimum embedding dimension of a scalar time series
-
Cao L., Practical method for determining the minimum embedding dimension of a scalar time series. Physica D. 120:1997;43-50.
-
(1997)
Physica D
, vol.120
, pp. 43-50
-
-
Cao, L.1
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