|
361
|
Detecting strange attractors in turbulence
– F Takens
- 1981
|
|
13
|
An improved estimator of dimension and some comments on providing confidence intervals
– K Judd
- 1992
|
|
11
|
Is breathing in infants chaotic? Dimension estimates for respiratory patterns during quiet sleep
– M Small, K Judd, M Lowe, S Stick
- 1999
|
|
132
|
Testing for nonlinearity in time series: the method of surrogate data
– J Theiler, S Eubank, A Longtin
- 1992
|
|
38
|
Constrained-Realization Monte-Carlo method for Hypothesis Testing
– James Theiler, Dean Prichard
|
|
7
|
Comparisons of New Nonlinear Modeling Techniques With Applications to Infant Respiration
– Michael Small, Kevin Judd
- 1998
|
|
11
|
Detecting nonlinearities in stationary time series", Int
– F Takens
- 1993
|
|
7
|
Applying the method of surrogate data to cyclic time series
– M Small, C K Tse
- 2002
|
|
27
|
PE: Re-examination of the evidence for lowdimensional, nonlinear structure in the human electroencephalogram. Electroencephalography and Clinical Neurophysiology
– J Theiler, Rapp
- 1996
|
|
267
|
T: Nonlinear Time Series Analysis
– H Kantz, Schreiber
- 1997
|
|
83
|
Determining embedding dimension for phase-space reconstruction using a geometrical construction
– M Kennel, R Brown, H Abarbanel
- 1992
|
|
5
|
Estimating dimension from small samples
– K Judd
- 1994
|
|
130
|
Nonlinear prediction of chaotic time series
– M Casdagli
- 1989
|
|
429
|
Stochastic complexity
– J Rissanen
- 1987
|
|
258
|
Stochastical Complexity and Statistical Inquiry
– J Rissanen
- 1989
|
|
5
|
Detecting Nonlinearity in Experimental Data
– Michael Small, Kevin Judd
- 1997
|
|
3
|
Improved surrogate data for nonlinearlity tests
– Thomas Schreiber, Andreas Schmitz
- 1996
|
|
5
|
Modeling Chaotic Motions of a String From Experimental Data
– Kevin Judd, Alistair Mees
- 1996
|
|
6
|
Minimum description length neural networks for time series prediction
– M Small, C K Tse
- 2002
|
