TY - JOUR
T1 - The autodependogram: a graphical device to
investigate serial dependences
AU - Bagnato, Luca
AU - Punzo, Antonio
AU - Nicolis, Orietta
PY - 2012
Y1 - 2012
N2 - In this article the serial dependences between the observed time series and the lagged series, taken into account one-by-one, are graphically analysed by what we have chosen to call the “autodependogram”. This tool is a sort of natural nonlinear counterpart of the well-known autocorrelogram used in the linear context. The autodependogram is based on the simple idea of using, instead of autocorrelations at varying time lags, the chi-square test statistics applied to convenient contingency tables. The efficacy of this graphical device is confirmed by real and artificial time series and by simulations from certain classes of well-known models, characterized by randomness and by different kinds of linear and nonlinear dependences.
AB - In this article the serial dependences between the observed time series and the lagged series, taken into account one-by-one, are graphically analysed by what we have chosen to call the “autodependogram”. This tool is a sort of natural nonlinear counterpart of the well-known autocorrelogram used in the linear context. The autodependogram is based on the simple idea of using, instead of autocorrelations at varying time lags, the chi-square test statistics applied to convenient contingency tables. The efficacy of this graphical device is confirmed by real and artificial time series and by simulations from certain classes of well-known models, characterized by randomness and by different kinds of linear and nonlinear dependences.
KW - Nonlinear time series
KW - Serial dependences
KW - Nonlinear time series
KW - Serial dependences
UR - http://hdl.handle.net/10807/40391
UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9892.2011.00754.x/abstract
U2 - 10.1111/j.1467-9892.2011.00754.x
DO - 10.1111/j.1467-9892.2011.00754.x
M3 - Article
SN - 0143-9782
VL - 2012
SP - 233
EP - 254
JO - Journal of Time Series Analysis
JF - Journal of Time Series Analysis
ER -