The autodependogram: A graphical device to investigate serial dependences

18Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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 χ 2-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. © 2011 Blackwell Publishing Ltd.

References Powered by Scopus

A test for independence based on the correlation dimension

2045Citations
N/AReaders
Get full text

Estimating mutual information

1981Citations
N/AReaders
Get full text

Analysis of financial time series

1518Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Measuring nonlinear dependence in time-series, a distance correlation approach

89Citations
N/AReaders
Get full text

Hidden markov and semi-markov models with multivariate leptokurtic-normal components for robust modeling of daily returns series

25Citations
N/AReaders
Get full text

Serial dependence of NDARMA processes

19Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Bagnato, L., Punzo, A., & Nicolis, O. (2012). The autodependogram: A graphical device to investigate serial dependences. Journal of Time Series Analysis, 33(2), 233–254. https://doi.org/10.1111/j.1467-9892.2011.00754.x

Readers' Seniority

Tooltip

Professor / Associate Prof. 5

71%

PhD / Post grad / Masters / Doc 1

14%

Researcher 1

14%

Readers' Discipline

Tooltip

Engineering 3

43%

Business, Management and Accounting 2

29%

Decision Sciences 1

14%

Computer Science 1

14%

Save time finding and organizing research with Mendeley

Sign up for free