Abstract
Despite recent publications exploring model complexity with modern regression methods, their dimensionality is rarely quantified in practice and the distributions of related test statistics are not well characterized. Through a simulation study, we describe the null distribution of the likelihood ratio statistic for several different feed-forward neural network models.
DOI
10.22237/jmasm/1036110120
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
