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Claire McKay Bowen

Claire Bowen

Email
Phone (505) 665-6594

Expertise

Methods of data privacy and confidentiality (differential privacy)

Bayesian modeling and computation

Education

Ph.D. Statistics, University of Notre Dame, 2018

M.S. Statistics, University of Notre Dame, 2015

B.S. Mathematics and Physics, Idaho State University, 2012

 

LANL Positions

Postdoctoral Research Associate, 2018 - Present

For More Information (e.g. full CV): www.clairemckaybowen.com

 

Publications

To Appear:

Bowen, CMK. and Liu, F. (2019) "Comparative Study of Differentially Private Data Synthesis Methods." Statistical Science Journal. Accepted with Minor Revisions (arXiv:1602.01063)

 

Bowen, CMK., DeBardeleben, N., Blanchard, S., Anderson-Cook, C. (2019) “Do Solar Proton Events Reduce the Number of Faults in Supercomputers?: A Comparative Analysis of Faults during and without Solar Proton Events" Reliability Physics Symposium, 2019 IEEE International

 

Peer-Reviewed Journals

Bowen, CMK. and Eugenio, E. (2017) "Where’s Wenda: An Activity on Teaching Middle School Students Data Privacy." Statistics Teacher, Issue No. 1.

Myers, K., Lawrence, E., Fugate, M., Bowen, CMK, Ticknor, L., Woodring, J., Wendelberger, J., Ahrens, J. (2016) "Partitioning a Large Simulation as It Runs." Technometrics: Special Issue on Big Data, Volume 58, Issue 3, 329-340. doi: 10.1080/00401706.2016.1158740

Bowen, CMK, Liu, F., & Wheeler, J. (2015) "Are More of My Patients Developing Side Effects than Expected." Practical Radiation Oncology, Volume 5, Issue 3, e255-e261. doi: 10.1016/j.prro.2014.10.007

 

Under Peer Review/Preprint

Bowen, CMK. and Liu, F. (2018) "STatistical Election to Partition Sequentially (STEPS) and Its Applications in Differentially Private Release and Analysis of Youth Voter Registration Data." (arXiv:1803.06763)

 

Other Publications

 

Bowen, CMK. (2016) "NSF GRIP Report: American Community Survey Simulation Study" U.S. Census Bureau.

 
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