Contextual classification of multispectral image data. - Philip H. Swain; Stephen B. Vardeman; James C. Tilton (Pattern Recognit., 1981)

Development test programs for 1-shot systems: 2-state reliability and binary development-test results. - Mu-Yeh Huang; D. McBeth; Stephen B. Vardeman (IEEE Trans. Reliab., 1996)

Two-Way Random-Effects Analyses and Gauge R&R Studies. - Stephen B. Vardeman; Enid S. VanValkenburg (Technometrics, 1999)

Introduction to Two Classics in Statistical Process Control. - Stephen B. Vardeman (Technometrics, 2000)

Sheppard's correction for variances and the "quantization noise model". - Stephen B. Vardeman (IEEE Trans. Instrum. Meas., 2005)

Likelihood-based statistical estimation from quantized data. - Stephen B. Vardeman; Chiang-Sheng Lee (IEEE Trans. Instrum. Meas., 2005)

Hierarchical Bayesian Statistical Analysis for a Calibration Experiment. - Reid D. Landes; Peter G. Loutzenhiser; Stephen B. Vardeman (IEEE Trans. Instrum. Meas., 2006)

Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises-Fisher distribution. - Melissa A. Bingham; Daniel J. Nordman; Stephen B. Vardeman (Comput. Stat. Data Anal., 2010)

Modeling Spectral-Temporal Data From Point Source Events. - Monica Reising; Max D. Morris; Stephen B. Vardeman; Shawn Higbee (Technometrics, 2011)

Bayes Statistical Analyses for Particle Sieving Studies. - Norma Leyva; Garritt L. Page; Stephen B. Vardeman; Joanne Wendelberger (Technometrics, 2013)

One-sample Bayes inference for symmetric distributions of 3-D rotations. - Yu Qiu; Daniel J. Nordman; Stephen B. Vardeman (Comput. Stat. Data Anal., 2014)

On the propriety of restricted Boltzmann machines. - Andee Kaplan; Daniel J. Nordman; Stephen B. Vardeman (CoRR, 2016)

Bayesian Inference for a New Class of Distributions on Equivalence Classes of Three-Dimensional Orientations With Applications to Materials Science. - Chuanlong Du; Daniel J. Nordman; Stephen B. Vardeman (Technometrics, 2016)

biclustermd: An R Package for Biclustering with Missing Values. - John Reisner; Hieu Pham 002; Sigurdur Olafsson; Stephen B. Vardeman; Jing Li (R J., 2019)

Properties and Bayesian fitting of restricted Boltzmann machines. - Andee Kaplan; Daniel J. Nordman; Stephen B. Vardeman (Stat. Anal. Data Min., 2019)

Biclustering with missing data. - Jing Li; John Reisner; Hieu Pham 002; Sigurdur Ólafsson; Stephen B. Vardeman (Inf. Sci., 2020)

Modeling and inference for mixtures of simple symmetric exponential families of -dimensional distributions for vectors with binary coordinates. - Abhishek Chakraborty; Stephen B. Vardeman (Stat. Anal. Data Min., 2021)

Some Bayesian biclustering methods: Modeling and inference. - Abhishek Chakraborty; Stephen B. Vardeman (Stat. Anal. Data Min., 2022)

Real-Time Personalized Physiologically Based Stress Detection for Hazardous Operations. - Tor T. Finseth; Michael C. Dorneich; Stephen B. Vardeman; Nir Keren; Warren D. Franke (IEEE Access, 2023)

Virtual Reality Adaptive Training for Personalized Stress Inoculation. - Tor T. Finseth; Michael C. Dorneich; Nir Keren; Warren D. Franke; Stephen B. Vardeman (Hum. Factors, 2025)