Statistics and Neural Networks

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Stick-Breaking Variational Autoencoders (2016, methodology): “A Variational Autoencoder (VAE) is model comprised of two multilayer perceptrons: one acts as a density network (MacKay & Gibbs, 1999) mapping a latent variable z i to an observed datapoint x i , and the other acts as an inference model (Salimans & Knowles, 2013) performing the reverse mapping from…”
Bankruptcy Prediction by Generalized Additive Models (2006, methodology): “Neural network models are powerful and have become a popular alternative with the ability to incorporate a very large number of features in an adaptive nonlinear model (Kay and Titterington, 2000), see for example Wilson and Sharda (1994).”
Credit Scoring, Statistical Techniques and Evaluation Criteria: A Review of the Literature (2011, methodology): “Consumer credit has become a huge industry, and the number of applications has increased during the last couple of decades.”