Simplified R-vine based forward regression

Journal Article (2021)
Author(s)

Kailun Zhu (TU Delft - Applied Probability)

Dorota Kurowicka (TU Delft - Applied Probability)

Gabriela F. Nane (TU Delft - Applied Probability)

Research Group
Applied Probability
DOI related publication
https://doi.org/10.1016/j.csda.2020.107091 Final published version
More Info
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Publication Year
2021
Language
English
Research Group
Applied Probability
Volume number
155
Article number
107091
Pages (from-to)
1-31
Downloads counter
177

Abstract

An extension of the D-vine based forward regression procedure to a R-vine forward regression is proposed. In this extension any R-vine structure can be taken into account. Moreover, a new heuristic is proposed to determine which R-vine structure is the most appropriate to model the conditional distribution of the response variable given the covariates. It is shown in the simulation that the performance of the heuristic is comparable to the D-vine based approach. Furthermore, it is explained how to extend the heuristic into a situation when more than one response variable are of interest. Finally, the proposed R-vine regression is applied to perform a stress analysis on the manufacturing sector which shows its impact on the whole economy.