36 citations · 43 across the 7 of their papers we have counts for
8 papers
The ladder of abstraction in statistical graphics
Andrew Gelman
Graphical forms such as scatterplots, line plots, and histograms are so familiar that it can be easy to forget how abstract they are. As a result, we often produce graphs that are…
Artificial Intelligence and Aesthetic Judgment
Jessica Hullman, Ari Holtzman, Andrew Gelman
Generative AIs produce creative outputs in the style of human expression. We argue that encounters with the outputs of modern generative AI models are mediated by the same kinds of…
Causal quartets: Different ways to attain the same average treatment effect
Andrew Gelman, Jessica Hullman, Lauren Kennedy
The average causal effect can often be best understood in the context of its variation. We demonstrate with two sets of four graphs, all of which represent the same average effect…
Prediction scoring of data-driven discoveries for reproducible research
Anna L. Smith, Tian Zheng, Andrew Gelman
Predictive modeling uncovers knowledge and insights regarding a hypothesized data generating mechanism (DGM). Results from different studies on a complex DGM, derived from differen…
Delivering data differently
Gwynn Sturdevant, A. Jonathan R. Godfrey, Andrew Gelman
Human-computer interaction relies on mouse/touchpad, keyboard, and screen, but tools have recently been developed that engage sound, smell, touch, muscular resistance, voice dialog…
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara +2
Recent arguments that machine learning (ML) is facing a reproducibility and replication crisis suggest that some published claims in ML research cannot be taken at face value. Thes…
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Tamara Broderick, Andrew Gelman, Rachael Meager +2
Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. We need evidence to support that the resulting decisions are we…
To design interfaces for exploratory data analysis, we need theories of graphical inference
Jessica Hullman, Andrew Gelman
Research and development in computer science and statistics have produced increasingly sophisticated software interfaces for interactive and exploratory analysis, optimized for eas…