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Mathematics

D-Index
38
Citations
5193
World Ranking
2380
National Ranking
999

Research.com Recognitions

  • 1984 - Fellow of the American Statistical Association (ASA)

Overview

William E. Strawderman is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily focuses on the field of mathematics, with a strong emphasis on statistics and probability.

Their work spans several subfields, including:

  • Statistics and Probability
  • Artificial Intelligence
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research
  • Computational Mechanics

The main topics addressed in their research include:

  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Statistical Distribution Estimation and Applications
  • Statistical Methods and Inference
  • Random Matrices and Applications
  • Bayesian Methods and Mixture Models
  • Probability and Risk Models

William E. Strawderman has contributed papers to a range of academic journals, frequently publishing in:

  • Journal of Statistical Planning and Inference
  • arXiv (Cornell University)
  • The Annals of Statistics
  • Biometrika
  • Statistics & Probability Letters

Recent papers include:

  • Admissible Bayes equivariant estimation of location vectors for spherically symmetric distributions with unknown scale (2020), published in The Annals of Statistics
  • Predictive density estimation under the Wasserstein loss (2020), published in Journal of Statistical Planning and Inference
  • Admissible estimators of a multivariate normal mean vector when the scale is unknown (2020), published in Biometrika
  • Estimation under matrix quadratic loss and matrix superharmonicity (2021), published in Biometrika
  • On admissible estimation of a mean vector when the scale is unknown (2022), published in Bernoulli

They have coauthored extensively with several researchers, including:

  • Yuzo Maruyama
  • Takeru Matsuda
  • Tatsuya Kubokawa
  • Dominique Fourdrinier
  • Éric Marchand

William E. Strawderman has also authored book publications, with known work including Stein Estimation, published by Springer International Publishing in 2023.

In recognition of professional contributions, they were named a Fellow of the American Statistical Association (ASA) in 1984.

Best Publications

  • Proper Bayes Minimax Estimators of the Multivariate Normal Mean

    William E. Strawderman

  • Estimating a Bounded Normal Mean

    George Casella;William E. Strawderman

  • The Generalized Jackknife Statistic

    William E. Strawderman

  • Combining information from independent sources through confidence distributions

    Kesar Singh;Minge Xie;William E. Strawderman

  • Negative Moments of Positive Random Variables

    M. T. Chao;W. E. Strawderman

  • Confidence Distributions and a Unifying Framework for Meta-Analysis

    Minge Xie;Kesar Singh;William E. Strawderman

  • Proper Bayes Minimax Estimators of the Multivariate Normal Mean Vector for the Case of Common Unknown Variances

    William E. Strawderman

  • Choice of hierarchical priors: admissibility in estimation of normal means

    James O. Berger;William E. Strawderman

  • Estimation in restricted parameter spaces: a review

    Eric Marchand;William E. Strawderman

  • Confidence distribution (CD) -- distribution estimator of a parameter

    Kesar Singh;Minge Xie;William E. Strawderman

  • Minimax Adaptive Generalized Ridge Regression Estimators

    William E. Strawderman

  • Minimax estimation of location parameters for certain spherically symmetric distributions

    William E Strawderman

  • Stein Estimation: The Spherically Symmetric Case

    Ann Cohen Brandwein;William E. Strawderman

  • Generalization of James-Stein Estimators under spherical symmetry

    Ann Cohen Brandwein;William E. Strawderman

  • A new class of generalized Bayes minimax ridge regression estimators

    Yuzo Maruyama;William E. Strawderman

  • Preparing Statisticians for Careers in Industry: Report of the ASA Section on Statistical Education Committee on Training of Statisticians for Industry

    Thomas J. Boardman;Gerald J. Hahn;William J. Hill;Ronald R. Hocking

  • On the construction of Bayes minimax estimators

    Dominique Fourdrinier;William E. Strawderman;Martin T. Wells

  • On estimation with balanced loss functions

    Dipak K Dey;Malay Ghosh;William E Strawderman

  • MINIMAX ESTIMATION OF LOCATION PARAMETERS FOR SPHERICALLY SYMMETRIC DISTRIBUTIONS WITH CONCAVE LOSS

    Ann Cohen Brandwein;William E. Strawderman

  • A James-Stein Type Estimator for Combining Unbiased and Possibly Biased Estimators

    Edwin J. Green;William E. Strawderman

  • Minimax Estimation of Powers of the Variance of a Normal Population Under Squared Error Loss

    William E. Strawderman

Frequent Co-Authors

Eric Marchand
Eric Marchand University of Rennes
Martin T. Wells
Martin T. Wells Cornell University
Lawrence D. Brown
Lawrence D. Brown Cornell University
George Casella
George Casella University of Florida
Stéphane Canu
Stéphane Canu Institut National des Sciences Appliquées de Rouen
James O. Berger
James O. Berger Duke University
Christian P. Robert
Christian P. Robert Paris Dauphine University
Dipak K. Dey
Dipak K. Dey University of Connecticut
Larry Wasserman
Larry Wasserman Carnegie Mellon University
Constantine Gatsonis
Constantine Gatsonis Brown University

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