A new approach for clustering of effects in quantile regression

Research output: Contribution to conferenceOther

Abstract

In this paper we aim at nding similarities among the coefficients from a multivariate regression. Using a quantile regression coefficients modeling, the effect of each covariate, given a response (also multivariate) is a curve in the multidimensional space of the percentiles. Collecting all the curves, describing the effects of each covariate on each response variable, we could be able to assess if only one or more covariates have same effects on different responses.
Original languageEnglish
Pages127-130
Number of pages4
Publication statusPublished - 2017

Fingerprint Dive into the research topics of 'A new approach for clustering of effects in quantile regression'. Together they form a unique fingerprint.

  • Cite this