H.T Banks
Affiliations: | Applied Mathematics | North Carolina State University, Raleigh, NC |
Area:
Applied Mathematics, Cell Biology, ImmunologyGoogle:
"H.T Banks"Children
Sign in to add trainee| Sarah L. Grove | grad student | 2007 | NCSU |
| Jimena L. Davis | grad student | 2008 | NCSU |
| John R. Samuels | grad student | 2008 | NCSU |
| Danielle Robbins | grad student | 2011 | NCSU |
| Dustin F. Kapraun | grad student | 2014 | NCSU |
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Publications
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| Banks JE, Banks HT, Myers N, et al. (2020) Lethal and sublethal effects of toxicants on bumble bee populations: a modelling approach. Ecotoxicology (London, England) |
| Banks HT, Banks JE, Catenacci J, et al. (2019) Correctly modeling plant-insect-herbivore-pesticide interactions as aggregate data. Mathematical Biosciences and Engineering : Mbe. 17: 1743-1756 |
| Schacht C, Meade A, Banks HT, et al. (2019) Estimation of probability distributions of parameters using aggregate population data: analysis of a CAR T-cell cancer model. Mathematical Biosciences and Engineering : Mbe. 16: 7299-7326 |
| Rahman M, Bekele-Maxwell K, Cates LL, et al. (2019) Modeling Zika Virus Transmission Dynamics: Parameter Estimates, Disease Characteristics, and Prevention. Scientific Reports. 9: 10575 |
| Yousefian O, White R, Banks HT, et al. (2019) Estimation of parameters quantifying porosity in random porous structures using ultrasonic attenuation: Solving the inverse problem Journal of the Acoustical Society of America. 145: 1781-1781 |
| Banks HT, Joyner ML. (2019) Adaption of Akaike information criterion under least squares frameworks for comparison of stochastic models Quarterly of Applied Mathematics. 77: 831-859 |
| Banks HT, Everett RA, Murad N, et al. (2018) Optimal design for dynamical modeling of pest populations. Mathematical Biosciences and Engineering : Mbe. 15: 993-1010 |
| Yousefian O, White RD, Karbalaeisadegh Y, et al. (2018) The effect of pore size and density on ultrasonic attenuation in porous structures with mono-disperse random pore distribution: A two-dimensional in-silico study. The Journal of the Acoustical Society of America. 144: 709 |
| Rieger TR, Allen RJ, Bystricky L, et al. (2018) Improving the generation and selection of virtual populations in quantitative systems pharmacology models. Progress in Biophysics and Molecular Biology |
| Rutter EM, Banks HT, Flores KB. (2018) Estimating intratumoral heterogeneity from spatiotemporal data. Journal of Mathematical Biology |