Goats are sentient beings capable of an emotional response to their lives. Yet despite this, the social relationships between animals…
Spatial modelling when there are few (<20) small areas can be challenging. Bayesian methods can be beneficial in this situation…
The Asian gypsy moth (AGM) (Lymantria dispar asiatica) is a serious biosecurity risk to Australia’s forestry and horticultural industries. While…
Up until mid-2016, citizen science uploads to the Atlas of Living Australia included c. 400 bug species, and c. 1,000…
Many unsupervised learning tasks involve data sets with both continuous and categorical attributes. One possible approach to clustering such data…
High-throughput sequencing technologies allow easy characterization of the human microbiome, but the statistical methods for analysing microbiome data are still…
When there are groupings of observations present in the data, many researchers resort to utilising a Principal Components Analysis (PCA)…
Fisher gave us three fundamental principles for designed experiments: replication, randomization and local control. Consonant with this, Brien et al.…
Spatial design and analysis are widely used, particularly in field experimentation. However, it is often the case that spatial analysis…
Functional response models are important in understanding predator-prey interactions. The development of functional response methodology has progressed from mechanistic models…