Modeling environmental data by functional principal component logistic regression

@inproceedings{Escabias2004ModelingED,
  title={Modeling environmental data by functional principal component logistic regression},
  author={Manuel Escabias and Ana M. Aguilera and Mariano J. Valderrama},
  year={2004}
}
In recent years, many studies have dealt with predicting a response variable based on the information provided by a functional variable. When the response variable is binary, different problems arise, such as multicollinearity and high dimensionality, which prejudice the estimation of the model and the interpretation of its parameters. In this article we address these problems by using functional logistic regression and principal component analysis. In order to obtain a unique solution for the… CONTINUE READING

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