1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…
stat.ME2022★ 1 cited
A Statistical-Modelling Approach to Feedforward Neural Network Model Selection
Andrew McInerney, Kevin Burke
Feedforward neural networks (FNNs) can be viewed as non-linear regression models, where covariates enter the model through a combination of weighted summations and non-linear funct…