Qualifications & Memberships
My recent research has focused on designing algorithms for numerical optimization problems and developing spatially balanced sampling designs for environmental monitoring.
- Curran MF., Cox SE., Robinson TJ., Robertson BL., Rogers KJ., Sherman ZA., Adams TA., Strom CF. and Stahl PD. (2019) Spatially balanced sampling and ground-level imagery for vegetation monitoring on reclaimed well pads. Restoration Ecology http://dx.doi.org/10.1111/rec.12956.
- Robertson BL., McDonald T., Price C. and Brown J. (2018) Halton iterative partitioning: spatially balanced sampling via partitioning. Environmental and Ecological Statistics 25(3): 305-323. http://dx.doi.org/10.1007/s10651-018-0406-6.
- van Dam-Bates P., Gansell O. and Robertson BL. (2018) Using balanced acceptance sampling as a master sample for environmental surveys. Methods in Ecology and Evolution 9(7): 1718-1726. http://dx.doi.org/10.1111/2041-210X.13003.
- Robertson BL., McDonald T., Price CJ. and Brown JA. (2017) A modification of balanced acceptance sampling. Statistics & Probability Letters : 107-112. http://dx.doi.org/10.1016/j.spl.2017.05.004.
- Price CJ., Reale M. and Robertson BL. (2016) Stochastic filter methods for generally constrained global optimization. Journal of Global Optimization (Early access online) http://dx.doi.org/10.1007/s10898-015-0388-y.