|
Activity Number:
|
550
- Statistics on Street Corners
|
|
Type:
|
Invited
|
|
Date/Time:
|
Wednesday, July 31, 2019 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Statistical Graphics
|
|
Abstract #300323
|
Presentation
|
|
Title:
|
Statistical Lineups for Bayesians
|
|
Author(s):
|
Susan Vanderplas* and Heike Hofmann
|
|
Companies:
|
Iowa State University and Iowa State University
|
|
Keywords:
|
Visual Inference;
Lineups;
Graphics;
Bayes Factors
|
|
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 randomly generated ``distractor" plots, but this approach does not easily facilitate the examination of 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.
|
Authors who are presenting talks have a * after their name.
