Abstract
Graphics play a crucial role in statistical analysis and data mining. The lineup protocol for experimentally testing graphics has traditionally used p-values to identify plots which are significantly visually distinct from distractor plots, but this approach does not easily translate to examining randomly generated plots to determine the strength of the distractor effect. This study presents a Bayesian approach to visual inference, using bayes factors to examine the difference in signal strength in two-target statistical lineups.
Location
Section on Statistical Graphics, JSM
Event Type: Conference
Location: Baltimore, MD