The estimation of a dependency model for a group as a whole does not take into account possible heterogeneity, i.e., the presence of possible partitions characterised by different dependency structures. We propose a procedure that exploits the potential of segmentation trees to identify partitions in an initial set of data characterised by different linear regression patterns.
Pathmox segmentation trees to compare linear regression models / Davino, Cristina; Lamberti, Giuseppe. - (2021), pp. 312-315. (Intervento presentato al convegno 13th Scientific Meeting of the Classification and Data Analysis Group).
Pathmox segmentation trees to compare linear regression models
Cristina Davino
;Giuseppe Lamberti
2021
Abstract
The estimation of a dependency model for a group as a whole does not take into account possible heterogeneity, i.e., the presence of possible partitions characterised by different dependency structures. We propose a procedure that exploits the potential of segmentation trees to identify partitions in an initial set of data characterised by different linear regression patterns.File in questo prodotto:
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