Bootstrap methods form a class of non‐parametric resampling techniques used to assess the variability and distributional properties of statistical estimators. By repeatedly drawing samples with ...

R is a powerful open source programming environment primarily known for its statistical capabilities. In this course we will cover some advanced applications of R: distributed computing using the ...

Predictive analytics relies on constructing models that generalise well from historical data to unseen instances. Central to this endeavour are model selection techniques, which aim to identify the ...