Malay Ghosh

Statistics and Probability · 2000–2021

A researcher in the Science corpus: 12 papers; trusts 52 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 80 citations into it; #1,950 of 12,932 by trust here, #2,531 by citations
• Artificial Intelligence — 29 citations into it; #10,568 of 35,345 by trust here, #25,809 by citations
• Management Science and Operations Research — 16 citations into it; #4,711 of 11,946 by trust here, #8,062 by citations
• Economics and Econometrics — 15 citations into it
• Control and Systems Engineering — 11 citations into it
• Statistical Learning Theory — 7 citations into it
• Optimization & Training — 6 citations into it
• Environmental Engineering — 5 citations into it

Whom Malay Ghosh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Gauri Sankar Datta
2. R. Fisher
3. Donald Fraser
4. Nancy Reid
5. Danny Pfeffermann
6. Robert Tibshirani
7. Hui Zou
8. James O. Berger
9. Lynne Stokes
10. Trevor J. Hastie

Who trusts Malay Ghosh overall

1. Gauri Sankar Datta
2. Danny Pfeffermann
3. Panayiota Constantinou
4. Roderick J. A. Little
5. Serena Arima
6. Mahmoud Torabi
7. Hui Zheng
8. Sanjay Chaudhuri
9. N. Klein
10. Ryan Martin

Papers from Malay Ghosh's perspective

Ordered by how strongly the researchers Malay Ghosh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. Controlling the false discovery rate: a practical and powerful approach to multiple testing
3. Addendum: Regularization and variable selection via the elastic net
4. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
5. Model selection and estimation in regression with grouped variables
6. Asymptotics for lasso-type estimators
7. Generalized Linear Models
8. The Adaptive Lasso and Its Oracle Properties
9. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
10. A Statistical View of Some Chemometrics Regression Tools

Their papers

• Asymptotic Properties of Bayes Risk of a General Class of Shrinkage Priors in Multiple Hypothesis Testing Under Sparsity (2013) — 60 citations
• Objective Priors: An Introduction for Frequentists (2011) — 117 citations
• Penalized regression, standard errors, and Bayesian lassos (2010) — 644 citations
• Bayesian Methods for Finite Population Sampling (2021) — 84 citations
• Bayesian multivariate spatial models for roadway traffic crash mapping (2006) — 172 citations
• Empirical likelihood for small area estimation (2011) — 51 citations
• Bayesian prediction with approximate frequentist validity (2000) — 58 citations
• Empirical and Hierarchical Bayesian Estimation in Finite Population Sampling under Structural Measurement Error Models (2006) — 55 citations
• Design Issues for Generalized Linear Models: A Review (2006) — 148 citations
• Benchmarking small area estimators (2013) — 52 citations
• Small Area Shrinkage Estimation (2012) — 52 citations
• ANCILLARY STATISTICS: A REVIEW (2010) — 81 citations