Dr David Hofmeyr
Senior Lecturer in StatisticsPhD Supervision Interests
Potential PhD candidates interested in any of the following should feel encouraged to contact me. - Estimation of complexity (e.g. leverage and effective degrees of freedom) of non-standard estimators (clustering models, linear projections, etc.) - Methodology for and analysis of non-parametric regression and classification problems - Methodology and theory for cluster analysis and /or unsupervised dimension reduction - Applications of (modified) flexible regression models in spatial; temporal and spatio-temporal problems
2024
Journal article
Mapping soil thickness by accounting for right‐censored data with survival probabilities and machine learning
van der Westhuizen, S., Heuvelink, G.B.M., Hofmeyr, D.P., Poggio, L., Nussbaum, M., Brungard, C. 31/10/2024 In: European Journal of Soil Science. 75, 5
Preprint
Optimal Projections for Classification with Naive Bayes
Hofmeyr, D., Kamper, F., Melonas, M.C. 2024
- Statistical Artificial Intelligence
- STOR-i Centre for Doctoral Training