Daëron, M;
Vermeesch, P;
(2024)
Omnivariant Generalized Least Squares Regression:
Theory, Geochronological Applications, and Making
the Case for Reconciled Δ47 calibrations.
Chemical Geology
, 647
, Article 121881. 10.1016/j.chemgeo.2023.121881.
![[thumbnail of OGLS.pdf]](https://discovery.ucl.ac.uk/style/images/fileicons/text.png) |
Text
OGLS.pdf - Accepted Version Access restricted to UCL open access staff until 28 January 2025. Download (1MB) |
Abstract
Least-squares regression methods are mathematically powerful, conceptually and computationally simple, and widely used in many fields. However, none of the commonly-used flavors of least-squares regression, such as York regression or Generalized Least Squares (GLS), take into account the full set of covariances between all observed (x, y) values. Here we describe the Omnivariant Generalized Least Squares (OGLS) method to fit a model of the form y = f(x), accounting for the full error correlation structure of the (x, y) data, based on a first-order linear propagation of the uncertainties in all variables into errors in y residuals, followed by minimizing the vector of y residuals with respect to the Mahalanobis norm defined by its covariance matrix. This approach may be described as a generalization of both York regression and GLS. It is mathematically exact for straight-line fits, and is also suitable for many non-linear models. Here we describe the principles of OGLS regression and discuss its properties, caveats, and practical use, and provide two consistent open-source implementations in Python and R. To illustrate how various fields of geochronology and stable-isotope geochemistry may benefit from this new method, we discuss how OGLS may specifically apply to 40Ar/39Ar dating and how it provides robust mathematical evidence that Δ47 carbonate calibrations in the recently defined I-CDES metrological scale are statistically indistinguishable, effectively solving long-standing methodological discrepancies.
| Type: | Article |
|---|---|
| Title: | Omnivariant Generalized Least Squares Regression: Theory, Geochronological Applications, and Making the Case for Reconciled Δ47 calibrations |
| DOI: | 10.1016/j.chemgeo.2023.121881 |
| Publisher version: | http://dx.doi.org/10.1016/j.chemgeo.2023.121881 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Statistics, Regression, Least squares, Geochronology, Clumped isotopes |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Earth Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10187272 |
Archive Staff Only
 |
View Item |
