3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ML2025★ 3 cited
Comparison of generalised additive models and neural networks in applications: A systematic review
Jessica Doohan, Lucas Kook, Kevin Burke
Neural networks have become a popular tool in predictive modelling, more commonly associated with machine learning and artificial intelligence than with statistics. Generalised Add…
stat.ME2023
Investigating Statistical Inference and Covariate Effects in Shallow Neural Networks
Andrew McInerney, Kevin Burke
Feedforward neural networks (FNNs) are typically viewed as pure prediction algorithms, and their strong predictive performance has led to their use in many machine-learning applica…