3 papers
stat.ME2025
Inference for quantile-parametrized families via CDF confidence bands
Srijan Chattopadhyay, Siddhaarth Sarkar, Arun Kumar Kuchibhotla
Quantile-based distribution families are an important subclass of parametric families, capable of exhibiting a wide range of behaviors using very few parameters. These parametric m…
math.ST2023
Generalized Asymptotic Limit Theory and Inference for Isotonic Regression
Soham Mallick, Siddhaarth Sarkar, Arun Kumar Kuchibhotla
Monotonicity is a natural shape constraint in nonparametric regression problems, arising for instance when predicting factory yield as a monotone function of labor hours. The widel…
stat.ME2023
Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision
Siddhaarth Sarkar, Arun Kumar Kuchibhotla
Conformal inference has played a pivotal role in providing uncertainty quantification for black-box ML prediction algorithms with finite sample guarantees. Traditionally, conformal…