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.
Landsittel, Douglas; Singh, Harshinder; Arena, Vincent C.; and Anderson, Stewart J.
"Null Distribution Of The Likelihood Ratio Statistic For Feed-Forward Neural Networks,"
Journal of Modern Applied Statistical Methods: Vol. 1
, Article 42.
Available at: http://digitalcommons.wayne.edu/jmasm/vol1/iss2/42