Daniel Gerhard

Senior LecturerDaniel Gerhard

Jack Erskine 611
Internal Phone: 92440

Qualifications

Research Interests

I am an applied statistician with research interests in dose-response modelling, hierarchical modelling, and simultaneous inference.

Recent Publications

  • Elliott C., Sutherland D., Gerhard D. and Theys C. (2022) An evaluation of the P300 Brain Computer Interface, EyeLink Board and Eye Tracking Camera as Augmentative and Alternative Communication Devices. Journal of Speech, Language, and Hearing Research http://dx.doi.org/10.1044/2022_JSLHR-21-00572.
  • Gerhard D. and Moltchanova E. (2022) A Richards Growth Model to Predict Fruit Weight. Australian and New Zealand Journal of Statistics.
  • Williamson, M., Daniel G., Hulme P. and Chapman H. (2022) Relative roles of genetic variation and phenotypic plasticity in the invasion of monkeyflower Erythranthre gutatta in New Zealand (2022-06-07). biorxiv http://dx.doi.org/10.1101/2022.06.06.495034.
  • Aguilar-Arguello S., Gerhard D. and Nelson XJ. (2020) Distance assessment of detours by jumping spiders. Current Zoology 66(3): 263-273. http://dx.doi.org/10.1093/cz/zoz044.
  • Ellis R., Gerhard D., Moltchanova E., Trought M. and Yang L. (2020) Using Bayesian Growth Models to Predict Grape Yield. OENO One 54(3) http://dx.doi.org/10.20870/oeno-one.2020.54.3.2972.