3 papers
stat.ME2026
Least Absolute Deviations Estimation for Sinusoidal Models
Zehaan Naik, Debasis Kundu
We study robust parameter estimation in sinusoidal regression models within a least absolute deviations (LAD) framework. While classical approaches rely predominantly on least-squa…
stat.ME2026
Coordinate Descent Algorithm for Least Absolute Deviations Regression
Zehaan Naik, Debasis Kundu
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…
stat.ME2024
Modeling time to failure using a temporal sequence of events
Sandip K Pal, Arnab Koley, Pritam Ranjan +1
In recent years, the requirement for real-time understanding of machine behavior has become an important objective in industrial sectors to reduce the cost of unscheduled downtime…