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Ayanendranath Basu

14 papers hereh-index 213.5k citations174 works total

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

author position
  • first author3
  • middle author3
  • last author8

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • stat.ME8
  • math.ST5
  • stat.AP1
same name
  • Ayanendranath Basu — 3 papers

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

activity
20172021
most citedRobust Hypothesis Testing and Model Selection for Parametric Proportional Hazard Regression Models

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

math.ST2019

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…

math.ST2019

Density Power Downweighting and Robust Inference: Some New Strategies

Saptarshi Roy, Kaustav Chakraborty, Somnath Bhadra +1

Preserving the robustness of the procedure has, at the present time, become almost a default requirement for statistical data analysis. Since efficiency at the model and robustness…

stat.AP2019

Robust Inference for Skewed data in Health Sciences

Amarnath Nandy, Ayanendranath Basu, Abhik Ghosh

Health data are often not symmetric to be adequately modeled through the usual normal distributions; most of them exhibit skewed patterns. They can indeed be modeled better through…

stat.ME2019

A Robust Generalization of the Rao Test

Ayanendranath Basu, Abhik Ghosh, Nirian Martin +1

This paper presents new families of Rao-type test statistics based on the minimum density power divergence estimators which provide robust generalizations for testing simple and co…

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