116 citations · 235 across the 15 of their papers we have counts for
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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…
On regularization methods based on Rényi's pseudodistances for sparse high-dimensional linear regression models
Elena Castilla, Abhik Ghosh, María Jaenada +1
Several regularization methods have been considered over the last decade for sparse high-dimensional linear regression models, but the most common ones use the least square (quadra…
On Robust Pseudo-Bayes Estimation for the Independent Non-homogeneous Set-up
Tuhin Majumder, Ayanendranath Basu, Abhik Ghosh
The ordinary Bayes estimator based on the posterior density suffers from the potential problems of non-robustness under data contamination or outliers. In this paper, we consider t…
Power and Level Robustness of A Composite Hypothesis Testing under Independent Non-Homogeneous Data
Abhik Ghosh, Ayanendranath Basu
Robust tests of general composite hypothesis under non-identically distributed observations is always a challenge. Ghosh and Basu (2018, Statistica Sinica, 28, 1133--1155) have pro…