Elliptical Insights: Understanding Statistical Methods through Elliptical Geometry
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Abstract (arXiv)
Visual insights into a wide variety of statistical methods, for both didactic and data analytic purposes, can often be achieved through geometric diagrams and geometrically based statistical graphs. This paper extols and illustrates the virtues of the ellipse and her higher-dimensional cousins for both these purposes in a variety of contexts, including linear models, multivariate linear models and mixed-effect models. We emphasize the strong relationships among statistical methods, matrix-algebraic solutions and geometry that can often be easily understood in terms of ellipses.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Feb 2013.
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Citing papers per year: 2022: 2; 2023: 2; 2024: 1.
5 papers.
- 2022Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detectioncited by 14
- 2023Constrained optimization of sensor placement for nuclear digital twinscited by 6
- 2022Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Expertscited by 4
- 2023VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisionscited by 1
- 2024Rethinking Unsupervised Outlier Detection via Multiple Thresholdingcited by 0
- 2024Rethinking Unsupervised Outlier Detection via Multiple Thresholding7 Jul 2024
- 2023VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions26 Jul 2023
- 2023Constrained optimization of sensor placement for nuclear digital twins23 Jun 2023
- 2022Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection19 Oct 2022
- 2022Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts11 May 2022