Zehaan Naik

My current work spans computational statistics and machine learning, with a focus on Markov chain Monte Carlo, robust estimation, optimization, and differential privacy. I have completed my BS in Statistics and Data Science with honors from IIT Kanpur, with minors in Machine Learning and Applications and English Literature. I have worked with BCG India as a summer associate and IIM Bangalore as a research assistant.

Current Duke Appointments & Affiliations

Student Statistical Science, Trinity College of Arts & Sciences

Recent Scholarly Works

Least Absolute Deviations Estimation for Sinusoidal Models

Preprint · June 11, 2026 We study robust parameter estimation in sinusoidal regression models within a least absolute deviations (LAD) framework. While classical approaches rely predominantly on least-squares formulations, they are known to be sensitive to heavy-tailed noise and o ... Link to item Cite

Coordinate Descent Algorithm for Least Absolute Deviations Regression

Preprint · March 19, 2026 Least Absolute Deviations (LAD) regression provides a robust alternative to ordinary least squares by minimizing the sum of absolute residuals. However, its widespread use has been limited by the computational cost of existing solvers, particularly simplex ... Link to item Cite

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