Abhik Ghosh
Statistics and Probability · 2013–2016
A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 21 citations into it; #4,981 of 12,932 by trust here, #9,233 by citations
Whom Abhik Ghosh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ayanendranath Basu
- Janette Warwick
- Daryl Pregibon
- M. Chris Jones
- Peter J. Rousseeuw
- Eva Cantoni
- Elvezio Ronchetti
- John A. Nelder
- Christopher Jennison
- Igor Vajda
Who trusts Abhik Ghosh overall
Papers from Abhik Ghosh's perspective
Ordered by how strongly the researchers Abhik Ghosh trusts endorse each paper. Same corpus, a different order for every researcher.
- Robust Statistics—The Approach Based on Influence Functions
- Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
- On robust estimation of the location parameter
- Resistant fits for some commonly used logistic models with medical application.
- Generalized Linear Models
- Robust Statistics: Theory and Methods
- Robust Inference for Generalized Linear Models
- Residuals and Influence in Regression
- Robust Statistics: The Approach Based on Influence Functions
- Robust estimation for independent non-homogeneous observations using density power divergence with applications to linear regression
Their papers
- Robust estimation for non-homogeneous data and the selection of the optimal tuning parameter: the density power divergence approach (2015) — 58 citations
- Robust estimation for independent non-homogeneous observations using density power divergence with applications to linear regression (2013) — 151 citations
- A Wald-type test statistic for testing linear hypothesis in logistic regression models based on minimum density power divergence estimator (2016) — 52 citations
- Robust estimation in generalized linear models: the density power divergence approach (2014) — 70 citations