Ultrametric Wavelet Regression of Multivariate Time Series: Application to Colombian Conflict Analysis

Details Ultrametric Wavelet Regression of Multivariate Time Series: Application to Colombian Conflict Analysis Ultrametric Wavelet Regression of Multivariate Time Series: Application to Colombian Conflict Analysis

2009-02-16

arxiv.org/abs/0902.2808v1

IEEE Transactions on Systems, Man, and Cybernetics - Part A, Systems and Humans, 2011

Statistics

Machine Learning

36 pages, 13 figures

Scientific paper

10.1109/TSMCA.2010.2064301

We first pursue the study of how hierarchy provides a well-adapted tool for the analysis of change. Then, using a time sequence-constrained hierarchical clustering, we develop the practical aspects of a new approach to wavelet regression. This provides a new way to link hierarchical relationships in a multivariate time series data set with external signals. Violence data from the Colombian conflict in the years 1990 to 2004 is used throughout. We conclude with some proposals for further study on the relationship between social violence and market forces, viz. between the Colombian conflict and the US narcotics market.

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