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Stephen B. Vardeman
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2020 – today
- 2025
- [j19]Tor T. Finseth, Michael C. Dorneich, Nir Keren, Warren D. Franke, Stephen B. Vardeman:
Virtual Reality Adaptive Training for Personalized Stress Inoculation. Hum. Factors 67(1): 5-20 (2025) - 2023
- [j18]Tor T. Finseth
, Michael C. Dorneich
Real-Time Personalized Physiologically Based Stress Detection for Hazardous Operations. IEEE Access 11: 25431-25454 (2023) - 2022
- [j17]Abhishek Chakraborty
Some Bayesian biclustering methods: Modeling and inference. Stat. Anal. Data Min. 15(4): 413-432 (2022) - 2021
- [j16]Abhishek Chakraborty
Modeling and inference for mixtures of simple symmetric exponential families of -dimensional distributions for vectors with binary coordinates. Stat. Anal. Data Min. 14(4): 352-365 (2021) - 2020
- [j15]Jing Li, John Reisner, Hieu Pham, Sigurdur Ólafsson, Stephen B. Vardeman:
Biclustering with missing data. Inf. Sci. 510: 304-316 (2020)
2010 – 2019
- 2019
- [j14]John Reisner, Hieu Pham, Sigurdur Olafsson, Stephen B. Vardeman, Jing Li:
biclustermd: An R Package for Biclustering with Missing Values. R J. 11(2): 69 (2019) - [j13]Andee Kaplan
Properties and Bayesian fitting of restricted Boltzmann machines. Stat. Anal. Data Min. 12(1): 23-38 (2019) - 2016
- [j12]Chuanlong Du, Daniel J. Nordman, Stephen B. Vardeman:
Bayesian Inference for a New Class of Distributions on Equivalence Classes of Three-Dimensional Orientations With Applications to Materials Science. Technometrics 58(2): 214-224 (2016) - [i1]Andee Kaplan, Daniel J. Nordman, Stephen B. Vardeman:
On the propriety of restricted Boltzmann machines. CoRR abs/1612.01158 (2016) - 2014
- [j11]Yu Qiu, Daniel J. Nordman, Stephen B. Vardeman:
One-sample Bayes inference for symmetric distributions of 3-D rotations. Comput. Stat. Data Anal. 71: 520-529 (2014) - 2013
- [j10]Norma Leyva, Garritt L. Page
Bayes Statistical Analyses for Particle Sieving Studies. Technometrics 55(2): 224-231 (2013) - 2011
- [j9]Monica Reising, Max D. Morris, Stephen B. Vardeman, Shawn Higbee:
Modeling Spectral-Temporal Data From Point Source Events. Technometrics 53(2): 183-195 (2011) - 2010
- [j8]Melissa A. Bingham, Daniel J. Nordman, Stephen B. Vardeman:
Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises-Fisher distribution. Comput. Stat. Data Anal. 54(5): 1317-1327 (2010)
2000 – 2009
- 2006
- [j7]Reid D. Landes, Peter G. Loutzenhiser, Stephen B. Vardeman:
Hierarchical Bayesian Statistical Analysis for a Calibration Experiment. IEEE Trans. Instrum. Meas. 55(6): 2165-2171 (2006) - 2005
- [j6]Stephen B. Vardeman, Chiang-Sheng Lee:
Likelihood-based statistical estimation from quantized data. IEEE Trans. Instrum. Meas. 54(1): 409-414 (2005) - [j5]Stephen B. Vardeman:
Sheppard's correction for variances and the "quantization noise model". IEEE Trans. Instrum. Meas. 54(5): 2117-2119 (2005) - 2000
- [j4]Stephen B. Vardeman:
Introduction to Two Classics in Statistical Process Control. Technometrics 42(1): 95-96 (2000)
1990 – 1999
- 1999
- [j3]Stephen B. Vardeman, Enid S. VanValkenburg:
Two-Way Random-Effects Analyses and Gauge R&R Studies. Technometrics 41(3): 202-211 (1999) - 1996
- [j2]Mu-Yeh Huang, D. McBeth, Stephen B. Vardeman:
Development test programs for 1-shot systems: 2-state reliability and binary development-test results. IEEE Trans. Reliab. 45(3): 379-385 (1996)
1980 – 1989
- 1981
- [j1]Philip H. Swain, Stephen B. Vardeman, James C. Tilton:
Contextual classification of multispectral image data. Pattern Recognit. 13(6): 429-441 (1981)
Coauthor Index
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