Liberal Arts and Sciences
Bhattacharjee Lab
Led by Satarupa Bhattacharjee · Statistics
What we study
The lab studies complex data like brain imaging, networks, and omics data using advanced statistical methods. They analyze functional and non-Euclidean data in metric spaces.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- Variable Selection for Additive Global Fréchet Regression
2026 · Journal of the American Statistical Association
Creates a framework for selecting variables in Fréchet regression for non-Euclidean data.
- Nonlinear global Fréchet regression for random objects via weak conditional expectation
2025 · The Annals of Statistics
Introduces weak conditional Fréchet means for regression with random object responses.
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- Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects
2025 · Journal of the American Statistical Association
Builds mixed-effects models for longitudinal data with complex random objects.
- Single index Fréchet regression
2023 · The Annals of Statistics
Proposes single-index models for regression with non-Euclidean responses and Euclidean predictors.
- Inference on the dynamics of COVID-19 in the United States
2022 · Scientific Reports
Models COVID-19 spread in the U.S. using a time-dependent stochastic model with social distancing and testing data.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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