Liberal Arts and Sciences
Antonelli Lab
Led by Joseph Antonelli · Statistics
What we study
The Antonelli Lab studies statistics, focusing on causal inference, high-dimensional modeling, and Bayesian methods. They apply these techniques to environmental health and criminology problems.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- Causal inference and racial bias in policing: new estimands and the importance of mobility data
2026 · Journal of the Royal Statistical Society Series A (Statistics in Society)
Studies racial bias in policing using mobility data and new estimands.
- How auditory development affects language acquisition: Influences of socioeconomic status and gestational age at birth
2026 · PLoS ONE
Tests whether delays in auditory development and socioeconomic status affect language acquisition.
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- Borrowing strength across exposures and outcomes via index models for multi-pollutant mixtures
2026 · Biometrics
Develops a method to improve power in analyzing health risks from multiple environmental exposures.
- Autoregressive models for panel data causal inference with application to state-level opioid policies
2026 · The Annals of Applied Statistics
Uses autoregressive models to estimate how state opioid policies affect opioid prescribing.
- Envelope-based partial least squares in functional regression
2025 · Journal of Multivariate Analysis
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Joseph Antonelli hasn't set up this page yet. Their UF Scholars profile lists their publications.