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Thesis: Statistical Methods for Random Rotations
MS in Statistic, Iowa State University, May 2011
BA in Mathematics, University of Texas - Austin, December 2008
October 2015 - Present
Uncertainty in computer models
Statistics and Mathematics tutor for the Department of Athletics
Measurement error modelling with physical activity applications
Develop a novel random forest technique to predict corn phenotypes based on genotype data
P. Alderman, B. Stanfill (2016). “Quantifying model-structure-and parameter-driven uncertainties in spring wheat phenology prediction with Bayesian analysis.” European Journal of Agronomy, 88: 1-9.
B. Stanfill, H. Mielenz, D. Clifford, P. Thorburn (2015). “Simple Approach to Emulating Complex Computer Models for Global Sensitivity Analysis.” Environmental Modelling and Software, 74: 140-155.
B. Stanfill, U. Genschel, H. Hofmann, D. Nordman (2015). “Nonparamteric Confidence Regions for the Central Orientation of Random Rotations.” Journal of Multivariate Analysis, 135: 106-116.
G. Welk, Y. Kim, B. Stanfill, D. Osthus, M. Calabro, S. Nusser, A. Carriquiry (2014). “Validity of a 24-Hour Physical Activity Recall: Physical Activity Measurement Survey.” Medicine and Science in Sports and Exercise, 46(10): 2014-2024.
B. Stanfill, H. Hofmann, U. Genschel (2014). “rotations-An R Package for SO(3) Data.” The R Journal, 6(1): 68-78.
B. Stanfill, U. Genschel , H. Hofmann (2013). “Point Estimation of the Central Orientation of Random Rotations.” Technometrics, 55(4): 524-535.
B. Stanfill (2014). “Robust Statistical Methods for the Rotation Group.” In Proceedings of the 17th International Conference on Data Fusion1. Salamanca, Spain. July 7-10, 2014.
G. Batinov, K. Whitney, L. Miller, S. Nusser, B. Stanfill, and K. Ashenfelter (2013). “Evaluating the Impact of Spatial Ability in Virtual and Real World Environments.” In Proceedings of the Sixth International Conference on Advances in Computer-Human Interactions2. Nice, France. February 24 - 28, 2013. pp. 274-279.
B. Stanfill, U. Genschel, H. Hofmann (2011). “Point Estimation of the Central Direction of Random Rotations.” In JSM Proceedings, Section on Physical and Engineering Sciences. Alexandria, VA: American Statistical Association, pp. 1883-1893.
Uncertainty Quantification in Human Reliability Modeling for Security Screening Operations, Workshop on Uncertainty Quantification at the 2016 ANNTPC, Santa Fe, New Mexico, September 25 - 30, 2015
Informing Physical Activity Interventions Using Bayesian Multilevel Modeling, 9th International Conference on Diet and Activity Methods, Brisbane, Australia, September 1 - 3, 2015
Tests of Discord for Isotropic Random Rotations, Joint Statistical Meetings, Seattle, WA, August 8 - 13, 2015
An Efficient Sensitivity Analysis Method for Spatio-temporal Data from an Agricultural Systems Simulator, Australasian Applied Statistics Conference, Port Lincoln, Australia, December 1 - 5, 2014
Robust Statistical Methods for the Rotation Group, 17th International Conference on Information Fusion, Salamanca, Spain, July 7 - 10, 2014
Inference for the Central Direction of Random Rotations in SO(3), Joint Statistical Meetings, Montreal, Canada, August 3 - 8, 2013
Quantifying Recall and Processing Errors in Surveys Utilizing the Compendium of Physical Activities, 7th International Total Survey Error Workshop, Ames, IA, June 2 - 4, 2013
Point Estimation of the Central Direction of Random Rotations in SO(3), Joint Statistical Meetings, Miami, FL, July 30 - August 4, 2011
Incorporating Spatial and Temporal Effects into the Sensitivity Analysis of an Agriculture Simulator, Uncertainty in Computer Models 2014, Sheffield, UK, July 28 - 30, 2014
apsimr: Extending Agriculture Simulator Capabilities with R, The R User Conference, Los Angeles, CA, June 30 - July 3, 2014
Confidence Regions for the Central Orientation of Random Rotations, ASA Iowa Chapter Meeting, Ames, IA, November 1, 2013
A Measurement Error Model for Physical Activity Data, ASA Conference on Statistical Practice, New Orleans, LA, February 21 - 23, 2013
Estimating the Probability of Compliance with Physical Activity Guidelines from a Bayesian Perspective, 8th International Conference on Diet and Activity Methods, Rome, Italy, May 14 - 17, 2012
Estimating the Central Direction of Random Rotations in SO(3), Conference on Data Analysis, Sante Fe, NM, February 29 - March 2, 2012
Point Estimation of the Central Direction of Random Rotations in SO(3), 4th Annual Midwest Statistics Research Colloquium, Madison, WI , March 18 & 19, 2011
apsimr - edit, run and evaluate APSIM simulations from R easily. Version 1.1 is available on CRAN. This version of the package includes several bug fixes, a connection to the package sensitivity and functions to execute novel sensitivity analysis techniques.
rotations - a package to generate, estimate, visualize and infer about random rotations in SO(3). Version 1.3 available on CRAN. Version 1.4 includes measures of discord and new distribution on SO(3); it is available on GitHub.
Total Survey Error: Robert Groves and Lars Lyberg, Iowa State University Survey Working Group, February 1, 2013
A Modified Random Forest Procedure with Survey Applications, Iowa State University Survey Working Group, October 1, 2012
Estimating the Probability of Compliance with Physical Activity Guidelines from a Bayesian Perspective, Revisited, Iowa State University Survey Working Group, March 9, 2012
A Bayesian Approach to Model Daily Physical Activity, Iowa State University Survey Working Group, October 10, 2011
Modeling Physical Activity Data, Iowa State University Survey Working Group, March 28, 2011
Assessing Program Effectiveness for a Youth Development Camp, Iowa State University Survey Working Group, October 25, 2010