scholarly article | Q13442814 |
P818 | arXiv ID | 1503.01678 |
P356 | DOI | 10.1063/1.4936242 |
P724 | Internet Archive ID | arxiv-1503.01678 |
P698 | PubMed publication ID | 26723147 |
P5875 | ResearchGate publication ID | 273157512 |
P50 | author | Joshua Garland | Q87001422 |
Elizabeth Bradley | Q87001424 | ||
P2093 | author name string | Joshua Garland | |
Elizabeth Bradley | |||
P2860 | cites work | Geometry from a Time Series | Q21706257 |
Determining embedding dimension for phase-space reconstruction using a geometrical construction | Q27341755 | ||
On noise reduction methods for chaotic data | Q30799388 | ||
Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series | Q34321630 | ||
Nonlinear time-series analysis revisited. | Q35795893 | ||
Computer systems are dynamical systems | Q38434436 | ||
Extensive chaos in the Lorenz-96 model | Q39797718 | ||
Model-free quantification of time-series predictability. | Q41706532 | ||
Practical implementation of nonlinear time series methods: The TISEAN package | Q47869748 | ||
Influence of embedding parameters and noise in center of pressure recurrence quantification analysis. | Q51626205 | ||
A unified approach to attractor reconstruction. | Q51918123 | ||
On a Method of Investigating Periodicities in Disturbed Series, with Special Reference to Wolfer's Sunspot Numbers | Q55890559 | ||
Another look at measures of forecast accuracy | Q56210019 | ||
Embedology | Q56430126 | ||
An analytic approach to practical state space reconstruction | Q56689088 | ||
State space reconstruction in the presence of noise | Q56689090 | ||
P433 | issue | 12 | |
P304 | page(s) | 123108 | |
P577 | publication date | 2015-12-01 | |
P1433 | published in | Chaos | Q13461585 |
P1476 | title | Prediction in projection | |
P478 | volume | 25 |
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