Software and Code
Qian, H., Moreira, G., Vanegas, D., Tang, Y., Pola, C., Gomes, C., McLamore, E., Bliznyuk, N., (2024). Improving high throughput manufacture of laser-inscribed graphene electrodes via hierarchical clustering. Scientific Reports, 14(1), p.7980. [code]
Qian, H., McLamore, E., Bliznyuk, N. (2023). Machine Learning for Improved Detection of Pathogenic E. coli in Hydroponic Irrigation Water Using Impedimetric Aptasensors: A Comparative Study. ACS Omega, 8(37), 34171-34179. [code]
Merrill, H.R., Tang, X., Bliznyuk, N. (2019), “Spatio-temporal additive regression model selection for urban water demand”, Stochastic Environmental Research and Risk Assessment, 33, 1075-1087. [code]
Duerr, I., Merrill, H.R., Wang, C., Bai, R., Boyer, M.J., Dukes, M.D., Bliznyuk N. (2018), “Forecasting Urban Household Water Demand with Statistical and Machine Learning Methods Using Large Space-Time Data: a Comparative Study”, Environmental Modelling & Software, 102, 29-38 [code]
Taylor-Rodriguez, D. , Womack, A.J., Fuentes, C.M., Bliznyuk, N. (2017), “Intrinsic Bayesian Analysis for Occupancy Models”, Bayesian Analysis, 12(3), 855-877. [code]
Taylor-Rodriguez, D. , Womack, A., and Bliznyuk, N. (2016), “Bayesian Variable Selection on Model Spaces Constrained by Heredity Conditions”, Journal of Computational & Graphical Statistics, 25(1), 515-535. [code]