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stat.ME2026
Covariance-Adaptive Residualization and Stagewise Calibration for Dependent Multiple Testing
Prasenjit Ghosh, Arijit Chakrabarti
In this paper, we study simultaneous hypothesis testing for multivariate Gaussian means under arbitrary covariance dependence. Building upon the Maximum Residual Down (MRD) procedu…
stat.ME2026
Bayesian Model Pursuit and Near-Oracle Sparse Signal Discovery Under Dependence
Prasenjit Ghosh, Arijit Chakrabarti
Sparse signal discovery is a fundamental problem in large-scale inference, where the goal is to identify a small number of active signals hidden among a large collection of null ef…