Alyson Wilson Bakerman, J., Pazdernik, K., Korkmaz, G., & Wilson, A. G. (2022). Dynamic logistic regression and variable selection: Forecasting and contextualizing civil unrest. INTERNATIONAL JOURNAL OF FORECASTING, 38(2), 648–661. https://doi.org/10.1016/j.ijforecast.2021.07.003 Wendelberger, L. J., Gray, J. M., Wilson, A. G., Houborg, R., & Reich, B. J. (2022). Multiresolution Broad Area Search: Monitoring Spatial Characteristics of Gapless Remote Sensing Data. Journal of Data Science. https://doi.org/10.6339/22-JDS1072 Wendelberger, L. J., Reich, B. J., & Wilson, A. G. (2021). Multi-model penalized regression. STATISTICAL ANALYSIS AND DATA MINING, 14(6), 698–722. https://doi.org/10.1002/sam.11496 Cahoon, J., Sanborn, K., & Wilson, A. (2021). Practical reliability growth modeling. Quality and Reliability Engineering International. https://doi.org/10.1002/qre.2822 Hollis, A. N., Smith, R. C., & Wilson, A. G. (2021). SURROGATE BASED MUTUAL INFORMATION APPROXIMATION AND OPTIMIZATION FOR URBAN SOURCE LOCALIZATION. INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 11(5), 39–55. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2021034400 Chakraborty, A., Lahiri, S. N., & Wilson, A. (2020). A STATISTICAL ANALYSIS OF NOISY CROWDSOURCED WEATHER DATA. ANNALS OF APPLIED STATISTICS, 14(1), 116–142. https://doi.org/10.1214/19-AOAS1290 Durodoye, R., Jr., Gumpertz, M., Wilson, A., Griffith, E., & Ahmad, S. (2020). Tenure and Promotion Outcomes at Four Large Land Grant Universities: Examining the Role of Gender, Race, and Academic Discipline. RESEARCH IN HIGHER EDUCATION, 61(5), 628–651. https://doi.org/10.1007/s11162-019-09573-9 Gilman, J. F., Fronczyk, K. M., & Wilson, A. G. (2019). Bayesian modeling and test planning for multiphase reliability assessment. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 35(3), 750–760. https://doi.org/10.1002/qre.2406 Tian, Y., Bondell, H. D., & Wilson, A. (2019). Bayesian variable selection for logistic regression. STATISTICAL ANALYSIS AND DATA MINING, 12(5), 378–393. https://doi.org/10.1002/sam.11428 Typhina, E., & Wilson, A. (2019). Discussion on “Effective interdisciplinary collaboration between statisticians and other subject matter experts.” Quality Engineering, 31(1), 192–194. https://doi.org/10.1080/08982112.2018.1539233 Gasior, K., Wagner, N. J., Cores, J., Caspar, R., Wilson, A., Bhattacharya, S., & Hauck, M. L. (2019). The role of cellular contact and TGF-beta signaling in the activation of the epithelial mesenchymal transition (EMT). CELL ADHESION & MIGRATION, 13(1), 63–75. https://doi.org/10.1080/19336918.2018.1526597 Jones, J. L., Broughton, R., Iamsasri, T., Fancher, C. M., Wilson, A. G., Reich, B., & Smith, R. C. (2019). The use of Bayesian inference in the characterization of materials and thin films. ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, Vol. 75, pp. A211–A211. https://doi.org/10.1107/S0108767319097940 Rendon, H., Wilson, A., & Stegall, J. (2018). Is it "Fake News'? Intelligence Community expertise and news dissemination as measurements for media reliability. INTELLIGENCE AND NATIONAL SECURITY, 33(7), 1040–1052. https://doi.org/10.1080/02684527.2018.1507381 Zoh, R., Wilson, A., Vander Wiel, S., & Lawrence, E. (2018). The negative log-gamma prior distribution for Bayesian assessment of system reliability. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 232(3), 308–319. https://doi.org/10.1177/1748006x17692154 Bakerman, J., Pazdernik, K., Wilson, A., Fairchild, G., & Bahran, R. (2018). Twitter geolocation: A hybrid approach. ACM Transactions on Knowledge Discovery from Data, 12(3). Iamsasri, T., Guerrier, J., Esteves, G., Fancher, C. M., Wilson, A. G., Smith, R. C., … Jones, J. L. (2017). A Bayesian approach to modeling diffraction profiles and application to ferroelectric materials. Journal of Applied Crystallography, 50, 211–220. Weaver, B. P., Hamada, M. S., Wilson, A. G., & Bakerman, J. E. (2017). Bayesian assurance tests for degradation data. Quality and Reliability Engineering International, 33(8), 2699–2709. https://doi.org/10.1002/QRE.2228 Wilson, A. G., & Fronczyk, K. M. (2017). Bayesian reliability: Combining information. Quality Engineering, 29(1), 119–129. Zhang, X., & Wilson, A. (2017). System Reliability and Component Importance Under Dependence: A Copula Approach. TECHNOMETRICS, 59(2), 215–224. https://doi.org/10.1080/00401706.2016.1142907 Wilson, A. G., & Fronczyk, K. M. (2016). Bayesian Reliability: Combining Information. Quality Engineering, 0–0. https://doi.org/10.1080/08982112.2016.1211889 Lenhardt, W. C., Conway, M., Scott, E., Blanton, B., Krishnamurthy, A., Hadzikadic, M., … Wilson, A. (2016). Cross-institutional research cyberinfrastructure for data intensive science. 2016 ieee high performance extreme computing conference (hpec). https://doi.org/10.1109/hpec.2016.7761597 Graham, H. T., Rotroff, D. M., Marvel, S. W., Buse, J. B., Havener, T. M., Wilson, A. G., … Motsinger-Reif, A. A. (2016). Incorporating concomitant medications into genome-wide analyses for the study of complex disease and drug response. Frontiers in Genetics, 7. Fancher, C. M., Han, Z., Levin, I., Page, K., Reich, B. J., Smith, R. C., … Jones, J. L. (2016). Use of Bayesian Inference in Crystallographic Structure Refinement via Full Diffraction Profile Analysis. Scientific Reports, 6(1), 31625. https://doi.org/10.1038/srep31625 Stracuzzi, D. J., Brost, R. C., Phillips, C. A., Robinson, D. G., Wilson, A. G., & Woodbridge, D. M.-K. (2015). Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs. STATISTICAL ANALYSIS AND DATA MINING, Vol. 8, pp. 340–352. https://doi.org/10.1002/sam.11294 Dickinson, R. M., Freeman, L. J., Simpson, B. A., & Wilson, A. G. (2015). Statistical methods for combining information: Stryker family of vehicles reliability case study. Journal of Quality Technology, 47(4), 400–415. https://doi.org/10.1080/00224065.2015.11918142 Berry, J. W., Fostvedt, L. A., Nordman, D. J., Phillips, C. A., Seshadhri, C., & Wilson, A. G. (2015). WHY DO SIMPLE ALGORITHMS FOR TRIANGLE ENUMERATION WORK IN THE REAL WORLD? INTERNET MATHEMATICS, 11(6), 555–571. https://doi.org/10.1080/15427951.2015.1037030 Casleton, E., Beyler, A., Genschel, U., & Wilson, A. (2014). A Pilot Study Teaching Metrology in an Introductory Statistics Course. Journal of Statistics Education, 22(3). https://doi.org/10.1080/10691898.2014.11889710 Hamada, M. S., Wilson, A. G., Weaver, B. P., Griffiths, R. W., & Martz, H. F. (2014). Bayesian Binomial Assurance Tests for System Reliability Using Component Data. JOURNAL OF QUALITY TECHNOLOGY, 46(1), 24–32. https://doi.org/10.1080/00224065.2014.11917952 Reese, C. S., & Wilson, A. G. (2014). Discussion of 'Methods for planning repeated measures accelerated degradation tests'. APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 30(6), 674–676. https://doi.org/10.1002/asmb.2090 Berry, J. W., Fostvedt, L. K., Nordman, D. J., Phillips, C. A., Seshadhri, C., & Wilson, A. G. (2014). Why do simple algorithms for triangle enumeration work in the real world? ITCS 2014 - Proceedings of the 2014 Conference on Innovations in Theoretical Computer Science, 225–234. https://doi.org/10.1145/2554797.2554819 Guo, J., & Wilson, A. G. (2013). Bayesian Methods for Estimating System Reliability Using Heterogeneous Multilevel Information. TECHNOMETRICS, 55(4), 461–472. https://doi.org/10.1080/00401706.2013.804441 Guo, J., Nordman, D. J., & Wilson, A. (2013). Bayesian nonparametric models for community detection. Technometrics, 55(4), 390–402. https://doi.org/10.1080/00401706.2013.804438 Weaver, B. P., Hamada, M. S., Vardeman, S. B., & Wilson, A. G. (2012). A Bayesian approach to the analysis of gauge R&R data. Quality Engineering, 24(4), 486–500. https://doi.org/10.1080/08982112.2012.702381 Anderson-Cook, C. M., Lu, L., Clark, G., Dehart, S. P., Hoerl, R., Jones, B., … Wilson, A. G. (2012). Statistical engineering-forming the foundations. Quality Engineering, 24(2), 110–132. https://doi.org/10.1080/08982112.2012.641150 Anderson-Cook, C. M., Lu, L., Clark, G., Dehart, S. P., Hoerl, R., Jones, B., … Wilson, A. G. (2012). Statistical engineering-roles for statisticians and the path forward. Quality Engineering, 24(2), 133–152. https://doi.org/10.1080/08982112.2012.641151 Reese, C. S., Wilson, A. G., Guo, J., Hamada, M. S., & Johnson, V. E. (2011). A Bayesian Model for Integrating Multiple Sources of Lifetime Information in System-Reliability Assessments. Journal of Quality Technology, 43(2), 127–141. https://doi.org/10.1080/00224065.2011.11917851 Shane Reese, C., Wilson, A. G., Guo, J., Hamada, M. S., & Johnson, V. E. (2011). A Bayesian model for integrating multiple sources of lifetime information in system-reliability assessments. Journal of Quality Technology, 43(2), 127–141. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84857597234&partnerID=MN8TOARS Wilson, A. G., Anderson-Cook, C. M., & Huzurbazar, A. V. (2011). A case study for quantifying system reliability and uncertainty. Reliability Engineering and System Safety, 96(9), 1076–1084. https://doi.org/10.1016/j.ress.2010.09.012 Wiel, S. V., Graves, T., Wilson, A., & Reese, S. (2011). A random onset model for degradation of high-reliability systems. Technometrics, 53(2), 163–172. https://doi.org/10.1198/TECH.2011.09119 Hamada, M. S., Huzurbazar, A. V., Vander Wiel, S., & Wilson, A. G. (2011). Assessing the risks of sampling rates for surveilling a population. Quality Engineering, 23(3), 242–252. https://doi.org/10.1080/08982112.2011.575747 Lu, L., Anderson-Cook, C. M., & Wilson, A. G. (2011). Choosing a consumption strategy for a population of units based on reliability. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 225(4), 407–423. https://doi.org/10.1177/1748006X11392287 Anderson-Cook, C. M., Crowder, S., Huzurbazar, A. V., Lorio, J., Ringland, J., & Wilson, A. G. (2011). Quantifying reliability uncertainty from catastrophic and margin defects: A proof of concept. Reliability Engineering and System Safety, 96(9), 1063–1075. https://doi.org/10.1016/j.ress.2010.10.006 Wilson, A. G., & Anderson-Cook, C. M. (2010). Comment. Technometrics, 52(4), 397–400. https://doi.org/10.1198/TECH.2010.09178 Singpurwalla, N. D., & Wilson, A. G. (2009). Probability, chance and the probability of chance. IIE Transactions (Institute of Industrial Engineers), 41(1), 12–22. https://doi.org/10.1080/07408170802322630 Parnell, G. S., Borio, L. L., Cox, L. A., Brown, G. G., Pollock, S., & Wilson, A. G. (2009). Response to Ezell and von Winterfeldt. Biosecurity and Bioterrorism, 7(1), 111–112. https://doi.org/10.1089/bsp.2009.0927 Wilson, A. G., Huzurbazar, A. V., & Sentz, K. (2009). The Imprecise Dirichlet Model for Multilevel System Reliability. Journal of Statistical Theory and Practice, 3(1), 211–223. https://doi.org/10.1080/15598608.2009.10411921 Hamada, M. S., Wilson, A. G., Reese, C. S., & Martz, H. F. (2008). Bayesian reliability. https://doi.org/10.1007/978-0-387-77950-8 Anderson-Cool, C. M., Graves, T., Hengartner, N., Klamann, R., Wiedlea, A. C. K., Wilson, A. G., … Lopez, G. (2008). Reliability modeling using both system test and quality assurance data. Military Operations Research, 13(3), 5–18. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-57849156786&partnerID=MN8TOARS Parnell, G. S., Borio, L. L., Brown, G. G., Banks, D., & Wilson, A. G. (2008). Scientists urge DHS to improve bioterrorism risk assessment. Biosecurity and Bioterrorism, 6(4), 353–356. https://doi.org/10.1089/bsp.2008.0930 Wilson, A. G., & Huzurbazar, A. V. (2007). Bayesian networks for multilevel system reliability. Reliability Engineering and System Safety, 92(10), 1413–1420. https://doi.org/10.1016/j.ress.2006.09.003 Anderson-Cook, C. M., Graves, T., Hamada, M., Hengartner, N., Johnson, V. E., Reese, C. S., & Wilson, A. G. (2007). Bayesian stockpile reliability methodology for complex systems. Military Operations Research, 12(2), 25–37. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-44649175976&partnerID=MN8TOARS Wilson, A. G., McNamara, L. A., & Wilson, G. D. (2007). Information integration for complex systems. Reliability Engineering and System Safety, 92(1), 121–130. https://doi.org/10.1016/j.ress.2006.07.003 Wilson, A. G., Graves, T. L., Hamada, M. S., & Reese, C. S. (2006). Advances in data combination, analysis and collection for system reliability assessment. Statistical Science, 21(4), 514–531. https://doi.org/10.1214/088342306000000439 Keller-McNulty, S., Wilson, A., & Anderson-Cook, C. (2006). Reliability. Statistical Science, 21(4). https://doi.org/10.1214/088342306000000664 Wilson, A. G., Wilson, G. D., & Olwell, D. H. (2006). Statistical methods in counterterrorism: Game theory, modeling, syndromic surveillance, and biometric authentication. In Statistical Methods in Counterterrorism: Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication (pp. 1–292). https://doi.org/10.1007/0-387-35209-0 Sentz, K., & Wilson, A. (2005). Fault tree uncertainty quantification using probabilities and belief structures on basic and non-basic events. Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 2005, 65–68. https://doi.org/10.1109/NAFIPS.2005.1548509 Hamada, M., Martz, H. F., Reese, C. S., Graves, T., Johnson, V., & Wilson, A. G. (2004). A fully Bayesian approach for combining multilevel failure information in fault tree quantification and optimal follow-on resource allocation. Reliability Engineering and System Safety, 86(3), 297–305. https://doi.org/10.1016/j.ress.2004.02.001 Wilson, A., Hamada, M., & Xu, M. (2004). Assessing production quality with nonstandard measurement errors. Journal of Quality Technology, 36(2), 193–206. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-2342535114&partnerID=MN8TOARS Reese, C. S., Wilson, A. G., Hamada, M., Martz, H. F., & Ryan, K. J. (2004). Integrated analysis of computer and physical experiments. Technometrics, Vol. 46, pp. 153–164. https://doi.org/10.1198/004017004000000211 Hamada, M., Martz, H. F., Reese, C. S., & Wilson, A. G. (2001). Finding near-optimal Bayesian experimental designs via Genetic algorithms. American Statistician, 55(3), 175–181. https://doi.org/10.1198/000313001317098121 Knebel, A. R., Janson-Bjerklie, S. L., Malley, J. D., Wilson, A. G., & Marini, J. J. (1994). Comparison of breathing comfort during weaning with two ventilatory modes. American Journal of Respiratory and Critical Care Medicine, 149(1), 14–18. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-0027980171&partnerID=MN8TOARS Wilson, A. G., & Johnson, V. E. (1994). Priors on scale-space templates. Proceedings of SPIE - The International Society for Optical Engineering, 2299, 161–168. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-0028739456&partnerID=MN8TOARS