1 citations · 1 across the 8 of their papers we have counts for
Showing 2026 · math.STShow all
2 papers · 2 filters
math.ST2026
A Composite Divergence Approach to Robust Multivariate Estimation under Cellwise and Casewise Contamination
Abhik Ghosh, Claudio Agostinelli, Ayanendranath Basu
Composite likelihood (CL) methods provide a computationally efficient alternative to full likelihood inference for complex multivariate models by replacing the joint likelihood wit…
math.ST2026
Universally Optimal Robustness-Efficiency Tradeoffs for a General Class of Minimum Divergence Estimators
Subhrajyoty Roy, Supratik Basu, Abhik Ghosh +1
Balancing the efficiency of an estimator under ideal conditions against its robustness under contamination remains a central challenge in robust statistics. While minimum divergenc…