Publications

Statistics and Data science

SJ Walsh, L Lu, C Anderson-Cook. G- or I-optimal: do we have to choose? In revision, Quality Engineering. https://doi.org/10.1080/08982112.2023.2194963

SJ Walsh, J Borkowski. Generating exact optimal experimental designs via particle swarm optimization: Assessing efficacy and efficiency via case study. Quality Engineering. doi:https://doi.org/10.1080/08982112.2022.2127364

SJ Walsh, J Borkowski. Improved G-Optimal Designs for Small Exact Response Surface Scenarios: Fast and Efficient Generation via Particle Swarm Optimization. Mathematics: Special Issue on Optimal Experimental Design and Statistical Modeling. https://doi.org/10.3390/math10224245 

SJ Walsh, T Bolton, J Borkowski. Generating exact optimal designs with specified replication structure via particle swarm optimization. Quality and Reliability Engineering International. In preparation. 

SJ Walsh, J Borkowski. A new particle swarm optimization algorithm for generating exact optimal designs for mixture experiments. Journal of the American Statistical Association. In preparation. 

SJ Walsh. A Julia package for generating optimal experimental designs on the hypercube via particle swarm optimization. Journal of statistical software. In preparation. 

SJ Walsh, KK Anderson, JE Hathaway, and BA Pulsipher. A Bayesian Approach to Monitoring and Assessing Unexploded Ordnance Remediation Progress from Munitions Testing Ranges. Springer Stochastic Environmental Research and Risk Assessment. 25:805-814. 2011. doi:10.1007/s10651-012-0208-1. 

JE Hathaway, SJ Walsh, LH Sego, and BA Pulsipher. Cross-Combined Composite Sampling Designs for Identification of Elevated Regions. Environmental and Ecological Statistics, Springer. doi:10.1007/s00477-010-0447-3. 

SJ Walsh and PD Whitney. A Graphical Approach to Diagnosing the Validity of the Conditional Independence Assumptions of a Bayesian Network Given Data. ASA Journal of Computational and Graphical Statistics. doi:10.1080/10618600.2012.657122. 

Interdisciplinary

Gemma Moya-Galé, A Wisler, Walsh, SJ; M McAuliffe, E. Levy. Acoustic predictors of Ease of Understanding in Spanish Speakers with Dysarthria Associated with Parkinson's Disease. Journal of Speech, Language, and Hearing Research, (2022) 1-14. https://doi.org/10.1044/2022_JSLHR-22-00284  

Gemma Moya-Galé , Walsh, SJ; Goudarzi, A. Automatic Assessment of Intelligibility in Noise in Parkinson Disease: Validation Study. Journal of Medical Internet Research. 24(10), 2022.  doi: 10.2196/40567 

O Alique, Y Aregbe, R Bencardino, R Binner, T Burr, JA Chapman, S Croft, A Fellerman, T Krieger, K Martin, P Mason, C Norman, T Prohaska, D Trivedi, SJ Walsh, D Wegrzynek, B Wright, J W¨uster. Statistical error model-based and GUM-based analysis of measurement uncertainties in nuclear safeguards - a reconciliation. ESARDA Bulliton (2022). https://publications.jrc.ec.europa.eu/repository/handle/JRC122432 

MW McCleary, R Amendola, SJ Walsh, BP McHugh. Effect of aluminum titanate on the fracture mechanism of the nickel-zirconia system under uniaxial and biaxial strength testing conditions. Materialia. doi:10.1016/j.mtla.2019.100401 

SF Boulyga, JA Cunningham, Z Macsik, J Hiess, MV Pe´nkin, and SJ Walsh. Development, validation and verification of an ICP-MS procedure for a multi-element analysis of uranium ore concentrates. doi:10.1039/C7JA00180K 

SJ Walsh, N Dzigal, E Chinea-Cano, and A Limbeck. Simple robust estimation of uranium isotope ratios in individual particles from LA-ICP-MS measurements doi:10.1039/C7JA00089H 

N Dzigal, E Chinea-Cano, SJ Walsh, and A Limbeck. Revisiting the Fission Track Method for the Analysis of Particles in Safeguards Environmental Samples. TALANTA. doi:10.1016/j.talanta.2017.01.090 

T burr, S Croft, K Jarman, A Nicholson, C Norman, and SJ Walsh. Improved Uncertainty Quantification in Non-destructive Assay for Nonproliferation. Chemometrics and Intelligent Laboratory Systems. doi:http://dx.doi.org/10.1016/j.chemolab.2016.10.007 

SJ Walsh, T Burr, K Martin. Discussion of the IAEA Error Approach to Producing Variance Estimates for use in Material Balance Evaluation and the International Target Values, and Comparison to Metrological Definitions of Precision. Journal of Nuclear Material Management, January 2017, Volume XLV, No. 2. 

SJ Walsh, Z Macsik, D Wegrzynek, T Krieger, and S Boulyga. Model Diagnostics for Detecting and Identifying Method Repeatability Outliers in Precision Studies: Application to a Homogeneity Study under a Two-Stage Nested ANOVA. Journal of Analytical Atomic Spectrometry. doi:10.1039/C5JA00380F 

T Burr, S Croft, T Krieger, K Martin, C Norman, and SJ Walsh. Uncertainty Quantification for Radiation Measurements: Bottom-Up Error Variance Estimation Using Calibration Information. Elsevier Applied Radiation and Isotopes. doi:10.1016/j.apradiso.2015.11.014 

JE Amonette, JL Barr, LM Dobeck, K Gullickson, and SJ Walsh. Spatio-temporal Changes in CO2 emissions during the second ZERT Injection. Environmental Earth Sciences 60(2):263-272. 2010. doi:10.1007/s12665-009-0402-0 

MC Chilton, SJ Walsh, and DS Daly. Prediction Metrics for Chemical Detection In LWIR Hyperspectral Imagery. 2009 Department of Energy Journal of Undergraduate Research. 2010. doi:DOE/SC-0117 

LK Chilton, and SJ Walsh. Detection of Gaseous Plumes Using Basis Vectors. Sensors 9(5):3205-3217. 2009. doi:10.3390/s90503205 

SJ Walsh, LK Chilton, MF Tardiff, and CN Metoyer. Effect of the Temperature Emissivity Contrast on the Chemical Signal for Gas Plume Detection Using Thermal Image Data. Sensors 8(10):6471-6483. 2008. doi:10.3390/s8106471 

Conference Proceedings

(peer reviewed) PD Whitney and SJ Walsh. Calibrating Bayesian Network Representations of Social-Behavioral Models. 2010 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction. In: Lecture Notes in Computer Science 6007:338-345. doi:10.1007/978-3-642-12079-4 42 

SJ Walsh, AC Dalton, AM White, and PD Whitney. Parameterizing Bayesian Network Representations of Social-Behavioral Models: A Novel Application of Conjoint Analysis. In: 2010 IEEE International Conference on Intelligence and Security Informatics: Workshop on Current Issues in Predictive Approaches to Intelligence and Security Analytics. doi:10.1109/ISI.2010.5484730 

AC Dalton, AJ Brothers, SJ Walsh, and PD Whitney. Expert Elicitation Method Selection Process and Method Comparison. In: 2010 Labsi Conference in Neuroscience and Decision making. Collegio S. Chiara, University of Siena, Italy. September 20 to 21, 2010. http://www.labsi.org/conference2010/Daltonetal.pdf 

(peer reviewed) PD Whitney, AM White, SJ Walsh, AC Dalton, and AJ Brothers. Bayesian Networks for Social Modeling. 2011 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction. In: Lecture Notes in Computer Science 6589:227-235. doi:10.1007/978-3-642-19656-0 

(peer reviewed) S Balsley, S. Burger, D. Wegrzynek, SJ Walsh, U Repinc, D Amaraggi, J Berger, M Kohl, A Schachinger, G Voigt. IAEA Nuclear Material Round Robin: Summary of Results and Recommendations for Safeguards Laboratories. 55th Annual Meeting Proceedings of the Institute of Nuclear Materials Management. July 24-30, 2014. Atlanta, GA. 

(peer reviewed) SJ Walsh, A Venzin, D Wegrzynek, C Mansoux. Using reproducibility to test the adequacy of GUM based uncertainty quantification. Advances in Nuclear Nonproliferation Technology and Policy Conference: Bridging the gaps in nuclear nonproliferation. September 25-30, 2016. Santa Fe, NM. 

(peer reviewed) T Burr, E Agboraw, E Bonner, S Croft, J Kirkpatrick, T Krieger, C Norman, P Santi and SJ Walsh. Revisiting Currie’s Minimum Detectable Activity for Non Destructive Assay By Gamma Detection Using Frequentist Tolerance Intervals and Bayesian Prediction Intervals. 2017 European Safeguards Research and Development Association, Symposium Proceedings. 

SJ Walsh. Overview of Optimal Experimental Design and a Survey of Its Expanse in Application to Agricultural Studies. Conference on Applied Statistics in Agriculture and Natural Resources, May 17-19, 2022. Utah State University. Logan, Utah.  https://doi.org/10.26077/fc50-a735 

Technical Reports

SJ Walsh, M. Powell, E. Mery, H. Zhang. Examining Effects of Team Training on Perceptions and Attitudes of Hospital Staff. Statistical Consulting and Research Services, Montana State University, 2017. 

A., Venzin SJ Walsh. 2015 US DOE Sponsored Proficiency Test for Bulk Analysis of Environmental Swipe Samples . SG-RP-14132. A., Venzin SJ Walsh. 2016 blind inter-laboratory comparison for determination of low level Pu in environmental samples by bulk analysis . SG-RP-14060. 

SJ Walsh, A. Venzin, S. Bulyha, Z. Macsik, D. Wegrzynek, M. Penkin, C. Mansoux, P. Martin, Y. Kuno. IAEA 2015 inter-laboratory comparison - determination of elemental impurities in uranium oxide matrix materials. SG-RP-13965. 

SJ Walsh and D. Wegrzynek. IAEA Proficiency Test for Particle Analysis 2015. SGRP-13680. A Venzin and SJ Walsh. Consensus value Estimation for ES Blank Swipes from Lot #49F3C. SG-RP-13670. 

SJ Walsh, D Wegrzynek, A Venzin, U. Repinc, J Schoenfeld, D Amaraggi, S Balsley. 2015 Nuclear Material Proficiency Test. SG-RP-13613. 

SJ Walsh, S Bulyha, Z Macsik, D Wegrzynek. Homogeneity Study: Preparation for the IAEA 2015 Interlaboratory Comparison for Impurity Analysis in Uranium Matrix. SG-RP- 13228. 

SJ Walsh, D Wegrzynek, M Nikkinen. 2014 IAEA High-Resolution Gamma Spectrometry Proficiency Test Results. SG-RP-13104. 

D Amaraggi, S Balsley, S Buerger, S bulyha, U Repinc, SJ Walsh, D Wegrzynek. 2013 Nuclear Material Round Robin - Technical Meeting Summary. SG-RP-12319 

SJ Walsh, JE Hathaway, KK Anderson, and BA Pulsipher. 2012. Application of Bayesian Dig-Stop Algorithm to Camp San-Luis Obispo Classification Demonstration Data. PNNL- 20332, Pacific Northwest National Laboratory, Richland, WA. 

SJ Walsh, BA Pulsipher, and JE Hathaway. 2010. Bayesian Dig Stop (BDS) Methodology Objectives, Distinguishing Characteristics, and Challenges: A White Paper. PNNL-19335, Pacific Northwest National Laboratory, Richland, WA. 

Hathaway JE, SJ Walsh, LH Sego, and BA Pulsipher. 2010. Cross-Combined Composite Sampling Designs for Identification of Elevated Regions. PNNL-19468, Pacific Northwest National Laboratory, Richland, WA. 

SJ Walsh, LH Sego, B Hammond, R Lee, CJ Murray, B Borry, M Waterbury, and PE Dresel. 2010. Data Study of Groundwater from U.S. Army Ranges . PNNL-19684, Pacific Northwest National Laboratory, Richland, WA. 

Pulsipher TC, SJ Walsh, BA Pulsipher, and BD Milbrath. 2010. Visual Sample Plan (VSP) Statistical Software as Related to the CTBTO’s On-Site Inspection Procedure. PNNL-19869, Pacific Northwest National Laboratory, Richland, WA. 

Dalton AC, AJ Brothers, SJ Walsh, and PD Whitney. 2010. “Expert Elicitation Method Selection Process and Method Comparison.” PNNL-SA-73134 Pacific Northwest National Laboratory, Richland, WA. 

Whitney PD, KE Wolf, SE Thompson, GA Coles, J Young, DA Niesen, CL Henderson, AJ Brothers, KD Jarman, and SJ Walsh. 2009. ”Dynamic Scenarios for Organizations in Infrastructures.” PNNL-SA-65510 Pacific Northwest National Laboratory, Richland, WA. 

SJ Walsh, KK Anderson, JE Hathaway, and BA Pulsipher. 2009. Bayesian Dig Stop: A methodology for monitoring and assessing the remediation of UXO from munitions testing ranges. PNNL-18703, Pacific Northwest National Laboratory, Richland, WA. 

Tardiff MF, SJ Walsh, KK Anderson, and L Chilton. 2009. Predicting detection probabilities for gas mixtures over HSI backgrounds. PNNL-19069, Pacific Northwest National Laboratory, Richland, WA. 

Chilton LK, and SJ Walsh. 2008. Large Spectral Library Problem . PNNL-17810, Pacific Northwest National Laboratory, Richland, WA. 

Metoyer CN, SJ Walsh, MF Tardiff, and L Chilton. 2008. Statistics for the Relative Detectability of Chemicals in Weak Gaseous Plumes in LWIR Hyperspectral Imagery. PNNL- 17989, Pacific Northwest National Laboratory, Richland, WA 

SJ Walsh, MF Tardiff, LK Chilton, and CN Metoyer. 2008. Effect of Background Emissivity on Gas Detection in Thermal Hyperspectral Imagery. PNNL-17874, Pacific Northwest National Laboratory, Richland, WA 2008. 

PNNL-17880 [Limited Distribution] 

SJ Walsh and MF Tardiff. 2007. Exploration of regularized covariance estimates with analytical shrinkage intensity for producing invertible covariance matrices in high dimensional hyper-spectral data. PNNL-17010, Pacific Northwest National Laboratory, Richland, WA.