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Journal of Mathematical Biology|May 9, 2018
Estimating intratumoral heterogeneity from spatiotemporal dataE M Rutter, H T Banks, K B FloresCommunications in Applied Analysis|August 12, 2022
THE PROHOROV METRIC FRAMEWORK AND AGGREGATE DATA INVERSE PROBLEMS FOR RANDOM PDEsH T Banks, K B Flores, I G Rosen, et al.Journal of Mathematical Biology|January 1, 1983
Parameter estimation techniques for transport equations with application to population dispersal and tissue bulk flow modelsH T Banks, P KareivaJournal of Mathematical Biology|December 23, 2004
A parameter sensitivity methodology in the context of HIV delay equation modelsH T Banks, D M BortzInverse Problems in Science and Engineering|February 25, 2014
Experimental Design for Vector Output SystemsH T Banks, K L RehmMathematical Biosciences|January 4, 2005
Probabilistic methods for addressing uncertainty and variability in biological models: application to a toxicokinetic modelH T Banks, Laura K PotterApplied Mathematics Letters|October 11, 2012
Experimental Design for Distributed Parameter Vector SystemsH T Banks, K L RehmMathematical Biosciences and Engineering : MBE|March 13, 2009
Quantifying uncertainty in the estimation of probability distributionsH T Banks, Jimena L DavisInverse Problems|August 23, 2011
Comparison of Optimal Design Methods in Inverse ProblemsH T Banks, Kathleen Holm, Franz KappelMathematical and Computer Modelling|September 14, 2010
Standard Error Computations for Uncertainty Quantification in Inverse Problems: Asymptotic Theory vs. BootstrappingH T Banks, Kathleen Holm, Danielle RobbinsPageof 8