This talk will focus on challenges that arise when faced with the analysis of datasets that are too large for…
Factor analytic (FA) models are widely used across a range of disciplines owing to computational advantages from dimension reduction and…
Obtaining maximum likelihood estimates for generalised linear models (GLMs) is computationally intensive and remains as the major obstacle for performing…
Genetic dissection of quantitative traits in plants has become an important tool in breeding of improved varieties. The most commonly…
The accurate evaluation of genotype performance for a range of traits, including disease resistance, is of great importance to the…
Typically hybrid breeding programs identify elite cultivars by assessing the performance of large numbers of different combinations of inbred parent…
Many applications of regression models involve ordinal categorical predictors. A motivating example we consider is ordinal ratings from individuals responding…
Increasingly, multiple sources of species occurrence data are available for a particular species, collected through different protocols. For single-source models,…
This talk builds upon the Invisible Fence (Jiang et al., 2011) a promising model selection method. Utilizing a combination of…
Variety selection in Horticulture crops usually involves testing varieties in field trials at multiple locations over a number of years…