Souhardya Sengupta

collaborators

3 papers

stat.ME2026

Low-rank Covariate Balancing Estimators under Interference

Souhardya Sengupta, Kosuke Imai, Georgia Papadogeorgou

A key methodological challenge in observational studies with interference between units is twofold: (1) each unit's outcome may depend on many others' treatments, and (2) treatment…

stat.ME2025

The $L$ -test: Increasing the Linear Model $F$ -test's Power Under Sparsity Without Sacrificing Validity

Danielle Paulson, Souhardya Sengupta, Lucas Janson

We introduce a new procedure for testing the significance of a set of regression coefficients in a Gaussian linear model with $n \geq d$ . Our method, the $L$ -test, provides the sam…

stat.ME2025

The $ℓ$ -test: leveraging sparsity in the Gaussian linear model for improved inference

Souhardya Sengupta, Lucas Janson

We develop novel LASSO-based methods for coefficient testing and confidence interval construction in the Gaussian linear model with $n \geq d$ . Our methods' finite-sample validity is…

Low-rank Covariate Balancing Estimators under Interference

The L-test: Increasing the Linear Model F-test's Power Under Sparsity Without Sacrificing Validity

The ℓ-test: leveraging sparsity in the Gaussian linear model for improved inference

The $L$ -test: Increasing the Linear Model $F$ -test's Power Under Sparsity Without Sacrificing Validity

The $ℓ$ -test: leveraging sparsity in the Gaussian linear model for improved inference