Fitting Densities and Hazard Functions with Neural Networks
In this paper, we show that Artificial neural networks (ANNs)—in particular, the Multi-Layer Perceptron (MLP)—can be used to estimate probability densities and hazard functions in survival analysis. An interpretation of the mathematical function fitted is given, and the work is illustrated with some experimental results.
KeywordsMean Square Error Hazard Function Single Hide Layer Logistic Density Clarke Level
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