Len Stefanski

Works (49)

Updated: June 16th, 2025 14:31

2018 article

Assessing Tuning Parameter Selection Variability in Penalized Regression

Hu, W., Laber, E. B., Barker, C., & Stefanski, L. A. (2018, October 16). Technometrics, Vol. 61, pp. 154–164.

By: W. Hu  n, E. Laber n, C. Barker* & L. Stefanski n 

author keywords: Conditional distribution; Lasso; Prediction sets
topics (OpenAlex): Advanced Statistical Methods and Models; Statistical Methods and Inference; Advanced Statistical Process Monitoring
TL;DR: The proposed methodology attempts to strike a balance between algorithmic modeling approaches that are computationally efficient but fail to incorporate expert knowledge, and interactive modeling approaches That are labor intensive but informed by experience, intuition, and domain knowledge. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: July 22, 2019

2017 article

Nonparametric independence screening via favored smoothing bandwidth

Feng, Y., Wu, Y., & Stefanski, L. A. (2017, December 9). Journal of Statistical Planning and Inference, Vol. 197, pp. 1–14.

By: Y. Feng *, Y. Wu * & L. Stefanski n 

author keywords: Bandwidth; Nonparametric; Smoothing; Variable screening
topics (OpenAlex): Statistical Methods and Inference; Bayesian Methods and Mixture Models; Advanced Statistical Methods and Models
TL;DR: Theoretically, it is proved that the favored smoothing bandwidth based screening possesses the model selection consistency property, which is important for ultrahigh-dimensional data screening. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 article

Interactive Q -Learning for Quantiles

Linn, K. A., Laber, E. B., & Stefanski, L. A. (2016, March 22). Journal of the American Statistical Association, Vol. 112, pp. 638–649.

By: K. Linn *, E. Laber n & L. Stefanski n 

author keywords: Dynamic treatment regime; Personalized medicine; Sequential decision making; Sequential multiple assignment randomized trial
topics (OpenAlex): Advanced Causal Inference Techniques; Statistical Methods in Clinical Trials; Statistical Methods and Inference
TL;DR: This work derives estimators of decision rules for optimizing probabilities and quantiles computed with respect to the response distribution for two-stage, binary treatment settings and illustrates the approach with data from a sequentially randomized trial where the primary outcome is remission of depression symptoms. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 article

Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods

White, K. R., Stefanski, L. A., & Wu, Y. (2016, August 26). Journal of the American Statistical Association, Vol. 112, pp. 1587–1597.

By: K. White n, L. Stefanski n  & Y. Wu *

author keywords: Bandwidth selection; Feature selection; LASSO; Nadaraya-Watson; Nonparametric regression; Solution path
topics (OpenAlex): Statistical Methods and Inference; Neural Networks and Applications; Gaussian Processes and Bayesian Inference
TL;DR: This article develops a nonparametric shrinkage and selection estimator via the measurement error selection likelihood approach recently proposed by Stefanski, Wu, and White using small-sample-corrected AIC to select the tuning parameter. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

Automatic structure recovery for additive models

Wu, Y., & Stefanski, L. A. (2015, March 11). Biometrika, Vol. 102, pp. 381–395.

By: Y. Wu n & L. Stefanski n 

author keywords: Backfitting; Bandwidth estimation; Kernel; Local polynomial; Measurement-error model selection likelihood; Model selection; Profiling; Smoothing; Variable selection
topics (OpenAlex): Statistical Methods and Inference; Gaussian Processes and Bayesian Inference; Control Systems and Identification
TL;DR: An automatic structure recovery method for additive models, based on a backfitting algorithm coupled with local polynomial smoothing, in conjunction with a new kernel-based variable selection strategy is proposed, and an extension to partially linear models is described. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

iqLearn: Interactive Q-Learning in R

Journal of Statistical Software, 64(1).

By: K. Linn, E. Laber & L. Stefanski 

Source: NC State University Libraries
Added: August 6, 2018

2014 book

The Work of Raymond J. Carroll

(M. Davidian, X. Lin, J. S. Morris, & L. A. Stefanski, Eds.).

By: M. Davidian n , X. Lin *, J. Morris * & L. Stefanski n 

Ed(s): M. Davidian n , X. Lin *, J. Morris * & L. Stefanski n 

topics (OpenAlex): COVID-19 epidemiological studies; Food Security and Health in Diverse Populations
Sources: Crossref, NC State University Libraries
Added: August 6, 2018

2013 chapter

Bias Reduction in Logistic Regression with Estimated Variance Predictors

In ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers (pp. 33–51).

By: L. Thomas *, L. Stefanski n  & M. Davidian n 

topics (OpenAlex): Statistical Methods and Inference; Statistical Methods in Clinical Trials; Statistical Methods and Bayesian Inference
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3. Good Health and Well-being (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: March 13, 2020

2013 article

Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood

Bondell, H. D., & Stefanski, L. A. (2013, March 29). Journal of the American Statistical Association, Vol. 108, pp. 644–655.

By: H. Bondell* & L. Stefanski n 

author keywords: Asymptotic efficiency; Breakdown point; Consistency; Constrained optimization; Distributional robustness; Efficient estimation; Exponential tilting; Least trimmed squares; Weighted least squares
topics (OpenAlex): Advanced Statistical Methods and Models; Advanced Statistical Process Monitoring; Statistical Methods and Inference
TL;DR: This work develops and study a linear regression estimator that has relatively high efficiency for small sample sizes and comparable outlier resistance, and is compared to existing robust regression estimators via application to a real dataset with purported outliers. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 book

Essential statistical inference: Theory and methods

New York: Springer.

By: D. Boos  & L. Stefanski 

Source: NC State University Libraries
Added: August 6, 2018

2013 article

Moment adjusted imputation for multivariate measurement error data with applications to logistic regression

Thomas, L., Stefanski, L. A., & Davidian, M. (2013, May 11). Computational Statistics & Data Analysis, Vol. 67, pp. 15–24.

By: L. Thomas *, L. Stefanski n  & M. Davidian n 

author keywords: Moment adjusted imputation; Multivariate measurement error; Logistic regression; Regression calibration
topics (OpenAlex): Statistical Methods and Bayesian Inference; Statistical Methods in Clinical Trials; Statistical Methods and Inference
TL;DR: Moment Adjusted Imputation is method for measurement error in a scalar latent variable that is easy to implement and performs well in a variety of settings and the extension of MAI to the setting of multivariate latent variables involves unique challenges. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 article

Variable Selection in Nonparametric Classification Via Measurement Error Model Selection Likelihoods

Stefanski, L. A., Wu, Y., & White, K. (2013, December 3). Journal of the American Statistical Association, Vol. 109, pp. 574–589.

By: L. Stefanski n , Y. Wu  n & K. White n

author keywords: Attenuation; Bayes rule; Binary regression; Convolution; Discriminant analysis; Kernel discriminant analysis; LASSO; Linear regression; Maximum likelihood rule; Model selection; Ridge regression
topics (OpenAlex): Advanced Statistical Methods and Models; Neural Networks and Applications; Statistical Methods and Inference
TL;DR: A new kernel-based classifier with LASSO-like shrinkage and variable-selection properties is developed in nonparametric classification, resulting in a new measurement-error-model-based approach to variable selection. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 article

Corrected-loss estimation for quantile regression with covariate measurement errors

Wang, H. J., Stefanski, L. A., & Zhu, Z. (2012, March 30). Biometrika, Vol. 99, pp. 405–421.

By: H. Wang n, L. Stefanski n  & Z. Zhu *

author keywords: Corrected loss function; Laplace distribution; Measurement error; Normal distribution; Quantile regression; Smoothing
topics (OpenAlex): Statistical Methods and Inference; Advanced Statistical Methods and Models; Statistical Methods and Bayesian Inference
TL;DR: A new estimation approach based on corrected scores to account for a class of covariate measurement errors in quantile regression, which requires no parametric assumptions on the regression error distributions and is simple to implement. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 article

P-Value Precision and Reproducibility

Boos, D. D., & Stefanski, L. A. (2011, November 1). The American Statistician, Vol. 65, pp. 213–221.

By: D. Boos n  & L. Stefanski n 

author keywords: Log p-value; Measure of evidence; Prediction interval; Reproducibility probability
topics (OpenAlex): Statistical Methods in Clinical Trials; Meta-analysis and systematic reviews; Statistical Methods and Inference; Data Analysis with R
TL;DR: It is shown that p-values exhibit surprisingly large variability in typical data situations, and the use of *, **, and *** to denote levels 0.05, 0.01, and 0.001 of statistical significance in subject-matter journals is about the right level of precision for reporting p- values when judged by widely accepted rules for rounding statistical estimates. (via Semantic Scholar)
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5. Gender Equality (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 article

A Moment-Adjusted Imputation Method for Measurement Error Models

Thomas, L., Stefanski, L., & Davidian, M. (2011, March 8). Biometrics.

By: L. Thomas *, L. Stefanski n  & M. Davidian n 

author keywords: Conditional score; Measurement error; Nonlinear models; Regression calibration
MeSH headings : Algorithms; Blood Pressure Determination / methods; Computer Simulation; Data Interpretation, Statistical; Heart Failure / diagnosis; Heart Failure / epidemiology; Humans; Models, Statistical; Reproducibility of Results; Sensitivity and Specificity
topics (OpenAlex): Statistical Methods and Bayesian Inference; Statistical Methods and Inference; Statistical Distribution Estimation and Applications
TL;DR: An imputation approach called moment‐adjusted imputation that is flexible and relatively automatic that can be used to adjust a variety of analyses quickly, and it performs well under a broad range of circumstances is proposed. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 article

FSR methods for second-order regression models

Crews, H. B., Boos, D. D., & Stefanski, L. A. (2011, January 27). Computational Statistics & Data Analysis, Vol. 55, pp. 2026–2037.

By: H. Crews*, D. Boos n  & L. Stefanski n 

author keywords: Bagging; False selection rate; Model selection; Response optimization; Variable selection
topics (OpenAlex): Optimal Experimental Design Methods; Spectroscopy and Chemometric Analyses; Statistical Methods and Inference
TL;DR: Forward selection algorithms are developed that enforce natural hierarchies in second-order models to control the entry rate of uninformative effects and to equalize the false selection rates from first-order and second- order terms. (via Semantic Scholar)
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2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 article

Regression‐assisted deconvolution

McIntyre, J., & Stefanski, L. A. (2011, February 1). Statistics in Medicine, Vol. 30, pp. 1722–1734.

By: J. McIntyre * & L. Stefanski n 

author keywords: density estimation; measurement error; mean-variance function model
MeSH headings : Algorithms; Analysis of Variance; Anthropometry / methods; Bias; Biometry / methods; Biostatistics / methods; Birth Weight; Body Height; Computer Simulation; Female; Humans; Infant, Newborn; Linear Models; Male; Models, Statistical; Pennsylvania; Sample Size
topics (OpenAlex): Statistical Methods and Inference; Statistical Methods and Bayesian Inference; Genetic and phenotypic traits in livestock
TL;DR: This work presents a semi‐parametric deconvolution estimator for the density function of a random variable biX that is measured with error, a common challenge in many epidemiological studies and illustrates the method using anthropometric measurements of newborns to estimate thedensity function of newborn length. (via Semantic Scholar)
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2009 article

Density Estimation with Replicate Heteroscedastic Measurements

McIntyre, J., & Stefanski, L. A. (2009, March 25). Annals of the Institute of Statistical Mathematics, Vol. 63, pp. 81–99.

By: J. McIntyre * & L. Stefanski n 

author keywords: Bandwidth; Bootstrap; Deconvolution; Hypergeometric series; Measurement error
topics (OpenAlex): Statistical Methods and Inference; Bayesian Methods and Mixture Models; Statistical Methods and Bayesian Inference
TL;DR: The estimator generalizes well-known deconvoluting kernel density estimators, with error variances estimated from the replicate observations, and derives expressions for the integrated mean squared error and examines its rate of convergence as n → ∞ and the number of replicates is fixed. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2009 article

Latent‐Model Robustness in Joint Models for a Primary Endpoint and a Longitudinal Process

Huang, X., Stefanski, L. A., & Davidian, M. (2009, January 23). Biometrics, Vol. 65, pp. 719–727.

By: X. Huang*, L. Stefanski n  & M. Davidian n 

author keywords: Censoring; Random effect; Remeasurement method; SIMEX
MeSH headings : Biometry / methods; Clinical Trials as Topic; Computer Simulation; Data Interpretation, Statistical; Effect Modifier, Epidemiologic; Endpoint Determination / methods; Longitudinal Studies; Models, Statistical; Regression Analysis
topics (OpenAlex): Statistical Methods and Bayesian Inference; Statistical Methods and Inference; Bayesian Methods and Mixture Models
TL;DR: Methods to diagnose random effect model misspecification of the type that leads to biased inference on joint models are presented and illustrated via application to simulated data. (via Semantic Scholar)
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2009 journal article

Orthology-based multilevel modeling of differentially expressed mouse and human gene pairs

Statistical Applications in Genetics and Molecular Biology, 8(1).

By: B. Ogorek & L. Stefanski 

Source: NC State University Libraries
Added: August 6, 2018

2009 journal article

Robust time series analysis via measurement error modeling

Statistica Sinica, 19(3), 1263–1280.

By: Q. Wang, L. Stefanski , M. Genton & D. Boos 

Source: NC State University Libraries
Added: August 6, 2018

2008 article

Characterizing Ammonia Emissions from Swine Farms in Eastern North Carolina: Part 1—Conventional Lagoon and Spray Technology for Waste Treatment

Aneja, V. P., Arya, S. P., Kim, D.-S., Rumsey, I. C., Arkinson, H. L., Semunegus, H., … Williams, C. M. (2008, September 1). Journal of the Air & Waste Management Association, Vol. 58, pp. 1130–1144.

By: V. Aneja n , S. Arya n, D. Kim n, I. Rumsey n, H. Arkinson n, H. Semunegus n, K. Bajwa n, D. Dickey n ...

Contributors: V. Aneja n , S. Arya n, D. Kim n, I. Rumsey n, H. Arkinson n, H. Semunegus n, K. Bajwa n, D. Dickey n ...

MeSH headings : Agriculture; Air Pollutants, Occupational / analysis; Ammonia / analysis; Animals; Environmental Monitoring; North Carolina; Swine / physiology; Waste Disposal, Fluid / methods
topics (OpenAlex): Odor and Emission Control Technologies; Wastewater Treatment and Nitrogen Removal; Composting and Vermicomposting Techniques
TL;DR: Ammonia (NH3) fluxes from waste treatment lagoons and barns at two conventional swine farms in eastern North Carolina were measured to elucidate the temporal and diurnal variability and derive regression relationships between NH3 flux and lagoon temperature, pH and ammonium content of the lagoon, and the most relevant meteorological parameters. (via Semantic Scholar)
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2. Zero Hunger (Web of Science)
6. Clean Water and Sanitation (OpenAlex)
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2008 article

Characterizing Ammonia Emissions from Swine Farms in Eastern North Carolina: Part 2—Potential Environmentally Superior Technologies for Waste Treatment

Aneja, V. P., Arya, S. P., Rumsey, I. C., Kim, D.-S., Arkinson, H. L., Semunegus, H., … Williams, C. M. (2008, September 1). Journal of the Air & Waste Management Association, Vol. 58, pp. 1145–1157.

By: V. Aneja n , S. Arya n, I. Rumsey n, D. Kim n, H. Arkinson n, H. Semunegus n, K. Bajwa n, D. Dickey n ...

Contributors: V. Aneja n , S. Arya n, I. Rumsey n, D. Kim n, K. Bajwa n, H. Arkinson n, H. Semunegus n, D. Dickey n ...

MeSH headings : Agriculture; Air Pollutants, Occupational / analysis; Ammonia / analysis; Animals; North Carolina; Swine / physiology; Waste Disposal, Fluid / methods
topics (OpenAlex): Odor and Emission Control Technologies
TL;DR: This study showed that ammonia emissions were reduced by all but one potential EST for both experimental periods, but on the basis of evaluation results and analysis and available information in the scientific literature, the evaluated alternative technologies may require additional technical modifications to be qualified as unconditional ESTs relative to NH3 emissions reductions. (via Semantic Scholar)
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2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2008 article

Fast FSR Variable Selection with Applications to Clinical Trials

Boos, D. D., Stefanski, L. A., & Wu, Y. (2008, September 29). Biometrics, Vol. 65, pp. 692–700.

By: D. Boos n , L. Stefanski*  & Y. Wu

author keywords: Bagging; False discovery rate; False selection rate; Forward selection; LASSO; Model error; Model selection; Regression
MeSH headings : Biometry / methods; Clinical Trials as Topic; Computer Simulation; Data Interpretation, Statistical; Effect Modifier, Epidemiologic; Models, Statistical; Proportional Hazards Models; Regression Analysis
topics (OpenAlex): Statistical Methods in Clinical Trials; Gene expression and cancer classification; Optimal Experimental Design Methods
TL;DR: A new version of the false selection rate variable selection method that requires no simulation is developed that allows the tuning parameter in forward selection to be estimated simply by hand calculation from a summary table of output even for situations where the number of explanatory variables is larger than the sample size. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2008 article

The North Carolina Lottery Coincidence

Stefanski, L. A. (2008, April 9). The American Statistician, Vol. 62, pp. 130–134.

By: L. Stefanski n 

author keywords: birthday problem; matching probability; recursion formula; television reporter
topics (OpenAlex): Sports Analytics and Performance; Gambling Behavior and Treatments; Artificial Intelligence in Games
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2007 article

Controlling Variable Selection by the Addition of Pseudovariables

Wu, Y., Boos, D. D., & Stefanski, L. A. (2007, February 4). Journal of the American Statistical Association, Vol. 102, pp. 235–243.

By: Y. Wu  n, D. Boos n  & L. Stefanski n 

author keywords: false selection rate; forward selection; model error; model selection; subset selection
topics (OpenAlex): Bayesian Modeling and Causal Inference; Statistical Methods and Inference; Neural Networks and Applications
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2007 article

Factors Regulating Cheese Shreddability

Childs, J. L., Daubert, C. R., Stefanski, L., & Foegeding, E. A. (2007, April 12). Journal of Dairy Science, Vol. 90, pp. 2163–2174.

By: J. Childs n, C. Daubert n, L. Stefanski n  & E. Foegeding n

author keywords: cheese; shreddability; pressure-sensitive adhesion; surface energy
MeSH headings : Cheese / analysis; Dietary Fats / analysis; Food Handling / methods; Rheology; Statistics as Topic; Temperature; Time Factors
topics (OpenAlex): Material Properties and Processing; Additive Manufacturing and 3D Printing Technologies; biodegradable polymer synthesis and properties
TL;DR: Rheological properties and tack energy appeared to be the key factors involved in shredding defects, and Mozzarella cheese, with the highest fat and lowest protein contents, produced the most fines but showed little adherence to the blade, even though tack energy increased with fat content. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2007 article

Residual (Sur)Realism

Stefanski, L. A. (2007, April 1). The American Statistician, Vol. 61, pp. 163–177.

By: L. Stefanski n 

author keywords: added-variable plot; backward selection; forward selection; hidden image; hidden message; linear regression; model selection; partial regression plot; residual plots; variable selection
topics (OpenAlex): Neural Networks and Applications
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UN Sustainable Development Goal Categories
10. Reduced Inequalities (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2006 article

A Multivariate Two‐Sample Mean Test for Small Sample Size and Missing Data

Wu, Y., Genton, M. G., & Stefanski, L. A. (2006, March 8). Biometrics, Vol. 62, pp. 877–885.

By: Y. Wu *, M. Genton* & L. Stefanski* 

author keywords: drug discovery; high-dimensional data; Hotelling's T-2; small n large p
MeSH headings : Algorithms; Biometry / methods; Data Interpretation, Statistical; Drug Design; Models, Statistical; Monte Carlo Method; Multivariate Analysis; Quantitative Structure-Activity Relationship; Sample Size
topics (OpenAlex): Statistical Methods in Clinical Trials; Optimal Experimental Design Methods; Advanced Statistical Methods and Models
TL;DR: A new statistic for testing the equality of two multivariate mean vectors is developed, based on componentwise statistics, that has the advantage over Hotelling's T2 test of being applicable to the case where the dimension of an observation exceeds the number of observations. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2006 article

Latent-model robustness in structural measurement error models

Huang, X., Stefanski, L. A., & Davidian, M. (2006, March 1). Biometrika, Vol. 93, pp. 53–64.

By: X. Huang n, L. Stefanski n  & M. Davidian n 

author keywords: bias; latent variable; measurement error; remeasurement method; simulation extrapolation; structural modelling
topics (OpenAlex): Fault Detection and Control Systems; Control Systems and Identification; Statistical Methods and Inference
TL;DR: Methods for diagnosing the effects of model misspecification of the true-predictor distribution in structural measurement error models and practical techniques for examining the adequacy of an assumed latent predictor model are presented. (via Semantic Scholar)
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2006 article

Measurement Error in Nonlinear Models

Carroll, R. J., Ruppert, D., Stefanski, L. A., & Crainiceanu, C. M. (2006, June 21).

By: R. Carroll, D. Ruppert, L. Stefanski*  & C. Crainiceanu

topics (OpenAlex): Advanced Control Systems Optimization; Sensor Technology and Measurement Systems; Spectroscopy and Chemometric Analyses
TL;DR: The Regression Calibration Algorithm and Examples of the Approximations Theoretical Examples Bibliographic Notes and Software Simulation Extrapolation Overview Simulationextrapolation Heuristics The SIMEX Algorithm Applications SIMEX in Some Important Special Cases Extensions and Related Methods. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2006 article

Tuning Variable Selection Procedures by Adding Noise

Luo, X., Stefanski, L. A., & Boos, D. D. (2006, April 23). Technometrics, Vol. 48, pp. 165–175.

By: X. Luo *, L. Stefanski n  & D. Boos n 

topics (OpenAlex): Advanced Statistical Methods and Models; Statistical Methods and Inference; Advanced Statistical Process Monitoring
TL;DR: This work proposes a general strategy for adapting variable selection tuning parameters that effectively estimates the tuning parameters so that the selection method avoids overfitting and underfitting. (via Semantic Scholar)
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Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2005 article

Comparative Responses of Container‐ versus Ground‐Grown Soybean to Elevated Carbon Dioxide and Ozone

Booker, F. L., Miller, J. E., Fiscus, E. L., Pursley, W. A., & Stefanski, L. A. (2005, May 1). Crop Science, Vol. 45, pp. 883–895.

By: F. Booker n, J. Miller n, E. Fiscus n, W. Pursley n & L. Stefanski n 

topics (OpenAlex): Plant responses to elevated CO2; Atmospheric chemistry and aerosols; Atmospheric Ozone and Climate
TL;DR: The results indicated that planting density and rooting environment affected plant morphology, but relative responses of seed yield to elevated CO 2 and O 3 were not fundamentally different between soybean plants grown in large pots and in the ground in open-top chambers. (via Semantic Scholar)
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13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2005 article

Estimating a nonlinear function of a normal mean

Stefanski, L. A., Novick, S. J., & Devanarayan, V. (2005, August 19). Biometrika, Vol. 92, pp. 732–736.

By: L. Stefanski* , S. Novick & V. Devanarayan

author keywords: corrected score; deconvolution; jackknife; measurement error; Monte Carlo; spherical uniform distribution
topics (OpenAlex): Advanced Statistical Methods and Models; Statistical Methods and Inference; Statistical Distribution Estimation and Applications
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2003 article

A STATISTICAL ANALYSIS OF CREAMING VARIABLES IMPACTING PROCESS CHEESE MELT QUALITY

GLENN, T. A., DAUBERT, C. R., FARKAS, B. E., & STEFANSKI, L. A. (2003, October 1). Journal of Food Quality, Vol. 26, pp. 299–321.

By: T. Glenn n, C. Daubert n, B. Farkas n & L. Stefanski n 

topics (OpenAlex): Food composition and properties; Probiotics and Fermented Foods; Microbial Inactivation Methods
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7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2003 journal article

Estimating patch occupancy when patches are incompletely surveyed

Insect Biochemistry and Molecular Biology, 2543, 1–20.

By: L. Stefanski , M. Rubino  & G. Hess

Source: NC State University Libraries
Added: August 6, 2018

2002 article

Corrected Score Estimation via Complex Variable Simulation Extrapolation

Novick, S. J., & Stefanski, L. A. (2002, June 1). Journal of the American Statistical Association, Vol. 97, pp. 472–481.

By: S. Novick  n & L. Stefanski n 

author keywords: chaotic systems; complex data; estimating equation; m-estimator; measurement error; Monte Carlo score; Poisson regression
topics (OpenAlex): Statistical Methods and Bayesian Inference; Statistical Methods and Inference; Insurance, Mortality, Demography, Risk Management
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2002 article

Empirical simulation extrapolation for measurement error models with replicate measurements

Devanarayan, V., & Stefanski, L. A. (2002, October 1). Statistics & Probability Letters, Vol. 59, pp. 219–225.

By: V. Devanarayan * & L. Stefanski n 

author keywords: errors-in-variables; heteroscedasticity; logistic regression; method of moments; simulation; variance components
topics (OpenAlex): Statistical Methods and Inference; Statistical Methods and Bayesian Inference; Soil Geostatistics and Mapping
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2002 article

The Calculus of M-Estimation

Stefanski, L. A., & Boos, D. D. (2002, February 1). The American Statistician, Vol. 56, pp. 29–38.

By: L. Stefanski n  & D. Boos n 

author keywords: asymptotic variance; central limit theorem; estimating equations; large-sample inference; maple; M-estimator
topics (OpenAlex): Advanced Statistical Methods and Models; Statistical Methods and Inference; Statistical Methods and Bayesian Inference
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2001 article

Statistical estimation of ozone exposure metrics

Blankenship, E. E., & Stefanski, L. A. (2001, September 1). Atmospheric Environment, Vol. 35, pp. 4499–4510.

By: E. Blankenship* & L. Stefanski n 

author keywords: maximum likelihood estimation; profile likelihood; time-of-day weighting
topics (OpenAlex): Plant responses to elevated CO2; Atmospheric chemistry and aerosols; Air Quality and Health Impacts
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2000 article

Measurement Error Models

Stefanski, L. A. (2000, December 1). Journal of the American Statistical Association.

By: L. Stefanski n 

topics (OpenAlex): Hemodynamic Monitoring and Therapy; Scientific Measurement and Uncertainty Evaluation
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UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2000 article

Relationships between ambient ozone regimes and white clover forage production using different ozone exposure indexes

Heagle, A. S., & Stefanski, L. A. (2000, January 1). Atmospheric Environment, Vol. 34, pp. 735–744.

By: A. Heagle n & L. Stefanski n 

author keywords: indicator plants; plant stress; exposure form; exposure index; ozone effects; air pollution; ozone
topics (OpenAlex): Plant responses to elevated CO2; Atmospheric chemistry and aerosols
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

1999 article

Influence of Daily Carbon Dioxide Exposure Duration and Root Environment on Soybean Response to Elevated Carbon Dioxide

Heagle, A. S., Booker, F. L., Miller, J. E., Pursley, W. A., & Stefanski, L. A. (1999, March 1). Journal of Environmental Quality, Vol. 28, pp. 666–675.

By: A. Heagle n, F. Booker n, J. Miller n, W. Pursley n & L. Stefanski n 

topics (OpenAlex): Climate variability and models; Plant responses to elevated CO2; Atmospheric and Environmental Gas Dynamics
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

1999 article

Regression Depth: Comment

Carroll, R. J., Ruppert, D., & Stefanski, L. A. (1999, June 1). Journal of the American Statistical Association, Vol. 94, pp. 410–411.

By: R. Carroll, D. Ruppert & L. Stefanski* 

topics (OpenAlex):
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UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

1999 article

Use of simulation-extrapolation estimation in catch-effort analyses

Gould, W. R., Stefanski, L. A., & Pollock, K. H. (1999, January 1). Canadian Journal of Fisheries and Aquatic Sciences, Vol. 56, pp. 1234–1240.

By: W. Gould*, L. Stefanski*  & K. Pollock*

topics (OpenAlex): Avian ecology and behavior; Species Distribution and Climate Change; Animal Behavior and Reproduction
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

1998 article

Relative-error prediction

Park, H., & Stefanski, L. A. (1998, October 1). Statistics & Probability Letters, Vol. 40, pp. 227–236.

By: H. Park * & L. Stefanski n 

author keywords: prediction; power-of-the-mean model; relative error; relative least squares; variance function
topics (OpenAlex): Optimal Experimental Design Methods; Advanced Statistical Process Monitoring; Advanced Statistical Methods and Models
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

1997 article

Effects of measurement error on catch-effort estimation

Gould, W. R., Stefanski, L. A., & Pollock, K. H. (1997, January 1). Canadian Journal of Fisheries and Aquatic Sciences, Vol. 54, pp. 898–906.

By: W. Gould*, L. Stefanski*  & K. Pollock*

topics (OpenAlex): Animal Behavior and Reproduction; Avian ecology and behavior
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

1995 book

Measurement error in nonlinear models

London; New York: Chapman & Hall.

By: R. Carroll, D. Ruppert & L. Stefanski 

Source: NC State University Libraries
Added: August 6, 2018

1994 book

Estimate of methane emissions from U.S. landfills: Project summary

Research Triangle Park, NC: U.S. Environmental Protection Agency, Air and Energy Engineering Research Laboratory.

By: M. Doorn, L. Stefanski  & M. Barlaz 

Source: NC State University Libraries
Added: August 6, 2018

Employment

Updated: June 6th, 2024 09:58

North Carolina State University Raleigh, US
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