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

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Title: Ultrametric Wavelet Regression of Multivariate Time Series: Application to Colombian Conflict Analysis
Author(s): Murtagh, Fionn; Spagat, Michael; Restrepo, Jorge A.
Subject(s): hierarchical clustering, wavelet regression, time series data
Abstract: 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.
Issue Date: 2009-06
Citation Info: Presented at the annual meetings of the Classification and Interface Societies, St. Louis, MO, June 2009.
Genre: Presentation / Lecture / Speech
Type: TextImage
Language: English
URI: http://hdl.handle.net/2142/16517
Publication Status: unpublished
Peer Reviewed: not peer reviewed
Rights Information: Copyright © 2009 by Fionn Murtagh, Michael Spagat, and Jorge A. Restrepo
Date Available in IDEALS: 2010-06-27
 

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