4 citations · 6 across the 5 of their papers we have counts for
5 papers
Robust Hypothesis Testing and Model Selection for Parametric Proportional Hazard Regression Models
Amarnath Nandy, Abhik Ghosh, Ayanendranath Basu +1
The semi-parametric Cox proportional hazards regression model has been widely used for many years in several applied sciences. However, a fully parametric proportional hazards mode…
On minimum Bregman divergence inference
Soumik Purkayastha, Ayanendranath Basu
In this paper a new family of minimum divergence estimators based on the Bregman divergence is proposed. The popular density power divergence (DPD) class of estimators is a sub-cla…
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…
The Logarithmic Super Divergence and its use in Statistical Inference
Avijit Maji, Abhik Ghosh, Ayanendranath Basu
This paper introduces a new superfamily of divergences that is similar in spirit to the S-divergence family introduced by Ghosh et al. (2013). This new family serves as an umbrella…
Estimation of Multivariate Location and Covariance using the S -Hellinger Distance
Abhik Ghosh, Ayanendranath Basu
This paper describes a generalization of the Hellinger distance which we call the S -Hellinger distance; this general family connects the Hellinger distance smoothly with the …