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Analysis of institutional authors

Aguilera-Morillo, McAuthor

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October 30, 2024
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Fast partial quantile regression

Publicated to: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 223 1-8 - 2022-01-01 223(), DOI: 10.1016/j.chemolab.2022.104533

Authors:

Méndez-Civieta, Álvaro; Aguilera-Morillo, M. Carmen; Lillo, Rosa E.
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Affiliations

UC3M Santander Big Data Inst - Author
Univ Politecn Valencia, Dept Appl Stat & Operat Res & Qual - Author

Abstract

Partial least squares (PLS) is a dimensionality reduction technique used as an alternative to ordinary least squares (OLS) in situations where the data is colinear or high dimensional. Both PLS and OLS provide mean based estimates, which are extremely sensitive to the presence of outliers or heavy tailed distributions. In contrast, quantile regression is an alternative to OLS that computes robust quantile based estimates. In this work, the multivariate PLS is extended to the quantile regression framework, obtaining a theoretical formulation of the problem and a robust dimensionality reduction technique that we call fast partial quantile regression (fPQR), that provides quantile based estimates. An efficient implementation of fPQR is also derived, and its performance is studied through simulation experiments and the chemometrics well known biscuit dough dataset, a real high dimensional example.
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Keywords

ArticleChemometricsDimension-reductionDimensionality reductionDoughOutliersPartial least squares regressionPartial-least-squaresQuantile regressionQuantile-regress ionQuantile-regressionRobustSimulationTheoretical study

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2022, it was in position 11/125, thus managing to position itself as a Q1 (Primer Cuartil), in the category Statistics & Probability. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-04:

  • WoS: 2
  • Scopus: 5
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-04:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 7.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 7 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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Awards linked to the item

Acknowledgments This research was partially supported by research grants and projectsPID2020-113961GB-I00 and PID2019-104901RB-I00 from Agencia Estatal de Investigacio?n, Spain.
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