Signal Detection Theory and Generalized Linear Models

@inproceedings{Decarlo2001SignalDT,
  title={Signal Detection Theory and Generalized Linear Models},
  author={Lawrence T Decarlo},
  year={2001}
}
Generalized linear models are a general class of regressionlike models for continuous and categorical response variables. Signal detection models can be formulated as a subclass of generalized linear models, and the result is a rich class of signal detection models based on different underlying distributions. An example is a signal detection model based on the extreme value distribution. The extreme value model is shown to yield unit slope receiver operating characteristic (ROC) curves for… CONTINUE READING
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