The Delay Vector Variance Method for Detecting Determinism and Nonlinearity in Time Series

By Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle. 2004

152 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Control and Systems Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/571ded35b33a41f3a90131d3356afe45d90e062e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Wolfgang Schmid
2. Daniel Ambach
3. Danilo P. Mandic

In Control and Systems Engineering

1. Naveed Urr Rehman
2. Danilo P. Mandic
3. Wolfgang Schmid
4. Daniel Ambach
5. Hania Aftab
6. Wei Mo
7. Zhi Li
8. Heng Li

In Statistical and Nonlinear Physics

1. Wolfgang Schmid
2. Daniel Ambach
3. Danilo P. Mandic
4. Anne Humeau-Heurtier

Citations in the corpus

• Multivariate empirical mode decomposition (2010, background): “…advances in physics and engineering have brought to light new problems dealing with complexity, uncertainty, nonlinearity and multichannel dynamics (Gautama et al. 2004; Mandic & Goh 2009); these signals are, however, almost invariably processed channel-wise (e.g. Duffy 2004; Janosi & Muller 2005;…”
• A new high-dimensional time series approach for wind speed, wind direction and air pressure forecasting (2017, methodology): “Gautama et al. (2004) describe different methods to check for non-linearities in general, but we have to find an appropriate model for forecasting.”