activity
20192023
most citedTea: A High-level Language and Runtime System for Automating Statistical Analysis

28 citations · 52 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2023

Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting

Edward Misback, Caleb C. Chan, Brett Saiki +3

In recent years, researchers have proposed a number of automated tools to identify and improve floating-point rounding error in mathematical expressions. However, users struggle to…

cs.HC2022

Understanding and Supporting Debugging Workflows in Multiverse Analysis

Ken Gu, Eunice Jun, Tim Althoff

Multiverse analysis, a paradigm for statistical analysis that considers all combinations of reasonable analysis choices in parallel, promises to improve transparency and reproducib…

cs.AI2022★ 24 cited

Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships

Eunice Jun, Audrey Seo, Jeffrey Heer +1

Proper statistical modeling incorporates domain theory about how concepts relate and details of how data were measured. However, data analysts currently lack tool support for recor…

cs.OH2021

Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications

Eunice Jun, Melissa Birchfield, Nicole de Moura +2

Data analysis requires translating higher level questions and hypotheses into computable statistical models. We present a mixed-methods study aimed at identifying the steps, consid…

cs.PL2019★ 28 cited

Tea: A High-level Language and Runtime System for Automating Statistical Analysis

Eunice Jun, Maureen Daum, Jared Roesch +4

Though statistical analyses are centered on research questions and hypotheses, current statistical analysis tools are not. Users must first translate their hypotheses into specific…