Abstract: The increasing adoption of Artificial Intelligence (AI) in engineering problems calls for the development of calibration methods capable of offering robust statistical reliability guarantees ...

Abstract: In quantile estimation within a stream of key-value pairs, recent work has made significant progress in query flexibility, supporting quantile estimation for any key using a unified ...

ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

ABSTRACT: Forensic epigenetics has become a rapidly expanding frontier in molecular forensics, offering analytical capabilities that surpass those of traditional genetic markers. Advances in ...