3 papers
stat.ML2026
Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web
Weihao Li, Dianne Cook, Emi Tanaka +2
Visual assessment of residual plots is a common approach for diagnosing linear models, but it relies on manual evaluation, which does not scale well and can lead to inconsistent de…
stat.AP2026
A Mathematical Framework and Software Implementation for Uncertainty Visualisation
Harriet Mason, Dianne Cook, Sarah Goodwin +1
Random variables are the bread and butter of statistics, and visualisations are one of the most versatile tools in the field, so it is a wonder why we do not have a methodology for…
stat.ML2024
Automated Assessment of Residual Plots with Computer Vision Models
Weihao Li, Dianne Cook, Emi Tanaka +2
Plotting the residuals is a recommended procedure to diagnose deviations from linear model assumptions, such as non-linearity, heteroscedasticity, and non-normality. The presence o…