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Abhik Ghosh

9 papers hereh-index 15 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5
  • last author3

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • math.ST4
  • stat.ME4
  • stat.ML1
same name
  • Abhik Ghosh — 5 papers, h 1
  • Abhik Ghosh — 4 papers, h 22
  • Abhik Ghosh — 3 papers, h 1
  • Abhik Ghosh — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing math.STShow all

4 papers · 1 filter

math.ST2026

Characterization of Generalized Alpha-Beta Divergence and Associated Entropy Measures

Subhrajyoty Roy, Supratik Basu, Abhik Ghosh +1

Minimum divergence estimators provide a natural framework for robust (parametric) statistical inference. Useful properties of several such divergence measures, including, the Helli…

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…

math.ST2025

On Generalized Likelihood Estimation Based on the Logarithmic Norm Relative Entropy

Himanshi Singh, Abhik Ghosh, Nil Kamal Hazra

Traditional likelihood based methods for parameter estimation get highly affected when the given data is contaminated by outliers even in a small proportion. In this paper, we cons…

math.ST2025

Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups

Suryasis Jana, Subhrajyoty Roy, Ayanendranath Basu +1

The minimum density power divergence estimator (MDPDE) has gained significant attention in the literature of robust inference due to its strong robustness properties and high asymp…

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