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Mathematics

D-Index
38
Citations
11381
World Ranking
2277
National Ranking
963

Research.com Recognitions

  • 1996 - Fellow of the American Statistical Association (ASA)

Overview

Leonard A. Stefanski is affiliated with North Carolina State University in the United States. Their research spans several interconnected fields, primarily focused on advanced statistical methods, decision sciences, and engineering. Stefanski's work explores complex topics within mathematics and applied statistics, addressing both theoretical and practical challenges.

The main fields of study connected to Stefanski's research are:

  • Mathematics
  • Decision Sciences
  • Engineering

Within these broader areas, their research engages with several subfields, including:

  • Statistics and Probability
  • Control and Systems Engineering
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research

Key research topics Stefanski focuses on are:

  • Advanced Statistical Methods and Models
  • Advanced Statistical Process Monitoring
  • Statistical Methods and Inference
  • Control Systems and Identification
  • Advanced Control Systems Design
  • Grey System Theory Applications

The scientist has published several papers recently, highlighting contributions to statistical theory and regression techniques. Notable recent publications include:

  • "Bias, Consistency, and Alternative Perspectives of the Infinitesimal Jackknife," 2021, arXiv (Cornell University)
  • "Fractional Ridge Regression," 2025, Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA)
  • "Non-null Shrinkage Regression and Subset Selection via the Fractional Ridge Regression," 2025, arXiv (Cornell University)

Stefanski has collaborated with various other researchers in their field, including:

  • Wei Peng
  • Lucas Mentch
  • Simon S. Park

The primary venues for Stefanski's published work are:

  • arXiv (Cornell University)
  • Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA)

Recognition of their professional contributions includes the award of Fellow of the American Statistical Association (ASA) in 1996.

Best Publications

  • Measurement Error in Nonlinear Models

    Raymond J. Carroll;David Ruppert;Leonard A. Stefanski

  • Simulation-extrapolation estimation in parametric measurement error models

    J. R. Cook;Leonard A. Stefanski

  • Deconvolving kernel density estimators

    Leonard A. Stefanski;Raymond J. Carroll

  • The Calculus of M-Estimation

    Leonard A Stefanski;Dennis D Boos

  • Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition

    Raymond J. Carroll;David Ruppert;Leonard A. Stefanski;Ciprian M. Crainiceanu

  • Deconvoluting kernel density estimators

    Leonard A. Stefanski;Raymond J. Carroll

  • Regression depth. Commentaries. Rejoinder

    P. J. Rousseeuw;M. Hubert;X. He;R. Koenker

  • Approximate Quasi-likelihood Estimation in Models with Surrogate Predictors

    Raymond J. Carroll;Leonard A. Stefanski

  • Conditional scores and optimal scores for generalized linear measurement-error models

    Leonard A. Stefanski;Raymond J. Carroll

  • Simulation-Extrapolation: The Measurement Error Jackknife

    Leonard A. Stefanski;J. R. Cook

  • Covariate Measurement Error in Logistic Regression

    Leonard A. Stefanski;Raymond J. Carroll

  • Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models

    Raymond J. Carroll;Helmut Küchenhoff;F. Lombard;Leonard A. Stefanski

  • Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models

    Hans R. Künsch;Leonard A. Stefanski;Raymond J. Carroll

  • The effects of measurement error on parameter estimation

    Leonard A. Stefanski

  • Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models

    Leonard A. Stefanski

  • Essential Statistical Inference

    Dennis D Boos;L. A Stefanski

  • Essential statistical inference : theory and methods

    Dennis D. Boos;Leonard A. Stefanski

  • P-Value Precision and Reproducibility.

    Dennis D. Boos;Leonard A. Stefanski

  • Optimally bounded score functions for generalized linear models with applications to logistic regression

    Leonard A. Stefanski;Raymond J. Carroll;David Ruppert

  • Rates of convergence of some estimators in a class of deconvolution problems

    Leonard A. Stefanski

  • Measurement Error Models

    L. A. Stefanski

Frequent Co-Authors

Raymond J. Carroll
Raymond J. Carroll Texas A&M University
David Ruppert
David Ruppert Cornell University
Dennis D. Boos
Dennis D. Boos North Carolina State University
Marie Davidian
Marie Davidian North Carolina State University
Kenneth H. Pollock
Kenneth H. Pollock North Carolina State University
Marc G. Genton
Marc G. Genton King Abdullah University of Science and Technology
Allen S. Heagle
Allen S. Heagle North Carolina State University
Viney P. Aneja
Viney P. Aneja North Carolina State University
Fitzgerald L. Booker
Fitzgerald L. Booker North Carolina State University

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