activity
20232026
most citedA Systematic Literature Review of Undergraduate Data Science Education Research

7 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ML2026

xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs

Daniele Micheletti, Federica Zoe Ricci, Erik B. Sudderth

Graphs play a crucial role in many applications, ranging from drug discovery to social network modeling and astronomy. Generative models for graphs have substantially advanced in r…

stat.OT2026

See You at the Posterior Line: Learning Bayesian Modeling Through a Car Racing Game

Federica Zoe Ricci, Mine Dogucu

We present an interactive classroom activity designed to address a central challenge in teaching introductory Bayesian statistics: how to formalize subjective knowledge and availab…

stat.ME2024

Bayesian temporal biclustering with applications to multi-subject neuroscience studies

Federica Zoe Ricci, Erik B. Sudderth, Jaylen Lee +3

We consider the problem of analyzing multivariate time series collected on multiple subjects, with the goal of identifying groups of subjects exhibiting similar trends in their rec…

stat.OT2024★ 7 cited

A Systematic Literature Review of Undergraduate Data Science Education Research

Mine Dogucu, Sinem Demirci, Harry Bendekgey +2

The presence of data science has been profound in the scientific community in almost every discipline. An important part of the data science education expansion has been at the und…

stat.OT2023★ 3 cited

Automated grading workflows for providing personalized feedback to open-ended data science assignments

Federica Zoe Ricci, Catalina Mari Medina, Mine Dogucu

Open-ended assignments - such as lab reports and semester-long projects - provide data science and statistics students with opportunities for developing communication, critical thi…