A new method to detect nonlinearity in a time-series: synthesising surrogate data using a Kolomogorov-Smirnoff tested hidden Markov model

Research output: Contribution to journal › Article › peer-review

Original language	Undefined/Unknown
Pages (from-to)	51-68
Number of pages	18
Journal	Physica D: Nonlinear Phenomena
Volume	155
Publication status	Published - 2001

Cite this

@article{23e0450b3a9141fca12fdbce261806e9,

title = "A new method to detect nonlinearity in a time-series: synthesising surrogate data using a Kolomogorov-Smirnoff tested hidden Markov model",

author = "Unsworth, \{C. P.\} and S. McLaughlin and Bernie Mulgrew",

year = "2001",

language = "Undefined/Unknown",

volume = "155",

pages = "51--68",

journal = "Physica D: Nonlinear Phenomena",

publisher = "Elsevier",

}