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Special Guest Lecture on Visual Inference with Claus Ekstrøm 12/1

December 1, 2021 @ 4:00 pm - 5:00 pm

Free
Claus Ekstrom

Join us for a special guest lecture (either in person or virtually) featuring Claus Ekstrøm, professor and vice-chair at the Section of Biostatistics, University of Copenhagen. His primary research interests are centered on developing methods for the analysis of high-dimensional data problems and causal discovery. He’s authored two books on statistics and is frequently used as an expert on statistics in Danish news media. Claus has been a grumpy old man from a young age.

Register Now  |  Wednesday 12/1/2021, 4:00-5:00 PM

This is a hybrid event:  In person at Otto G. Richter Library, CR 343  | or online via Zoom.

Title of the lecture:  “Validation of visual inference methods in statistics by use of deep learning”

When does inspecting a certain graphical plot allow for an investigator to reach the right statistical conclusion? Visual inference is commonly used for various tasks in statistics—including model diagnostics and exploratory data analysis – and though attractive due to its intuitive nature, the lack of available methods for validating plots is a major drawback.

We propose a new validation method for visual inference. Our method trains deep neural networks to distinguish between plots simulated under two different data-generating mechanisms (null or alternative), and we use the classification accuracy as a technical validation score (TVS). The TVS measures the information content in the plots, and TVS values can be used to compare different plots or different choices of data-generating mechanisms, thereby providing a meaningful scale that new visual inference procedures can be validated against.

We apply the method to three popular diagnostic plots for linear regression, namely the scatter plot, the quantile-quantile plot, and the residual plot. We consider various types and degrees of misspecification, as well as different within-plot sample sizes. Our method produces TVSs that increase with increasing sample size and decrease with increasing difficulty, and hence the TVS is a meaningful measure of validity.

Details

Date:
December 1, 2021
Time:
4:00 pm - 5:00 pm
Cost:
Free
Event Categories:
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Event Tags:
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Organizer

Frost Institute for Data Science and Computing
Phone:
305-243-4962
Email:
idsc@miami.edu
View Organizer Website

Venue

Richter Library
1300 Memorial Drive
Coral Gables, Florida 33146 United States
+ Google Map
Phone:
305-284-3233
View Venue Website

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