18 citations · 20 across the 5 of their papers we have counts for
5 papers
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…
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…
The Noisy Work of Uncertainty Visualisation Research: A Review
Harriet Mason, Dianne Cook, Sarah Goodwin +2
Better representation of the uncertainty in a data visualisation is a focus of recent research activity. A problem with the current literature is that there is a lack of clarity ab…
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…
A Plot is Worth a Thousand Tests: Assessing Residual Diagnostics with the Lineup Protocol
Weihao Li, Dianne Cook, Emi Tanaka +1
Regression experts consistently recommend plotting residuals for model diagnosis, despite the availability of many numerical hypothesis test procedures designed to use residuals to…