Inference for Deep Neural Network Estimators in Generalized Nonparametric Models
PositiveArtificial Intelligence
A new study introduces a deep neural network estimator designed for generalized nonparametric regression models, addressing a significant gap in the inference of subject-specific means for categorical outcomes. This advancement is crucial as it enhances the reliability of predictions made by deep learning models, paving the way for more accurate applications in various fields such as healthcare and social sciences.
— via World Pulse Now AI Editorial System
