Rohit Kumar Patra

"My research centers around semiparametric/nonparametric methodology and large sample theory – efficient estimation in semiparametric models, nonparametric function estimation (with special emphasis on shape-constrained estimation), likelihood and bootstrap-based inference in (non-standard) parametric and nonparametric models. The research’s main motivation is to develop nonparametric procedures that are automated (free from tuning parameters) but still flexible enough to incorporate data-driven features.

My research has applications in broad areas such as genetics (multiple testing problems), economics (utility and production function estimation and binary response models), causal inference (conditional independence), and astronomy (analysis of accretion of galaxies), among other fields."