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Other Regression-Based Models

  • Generalized linear model:
    • Foundation on which linear regression can be applied to modeling categorical response variables
    • Variance of y is a function of the mean value of y, not a constant
    • Logistic regression: models the prob. of some event occurring as a linear function of a set of predictor variables
    • Poisson regression: models the data that exhibit a Poisson distribution
  • Log-linear models: (for categorical data)
    • Approximate discrete multidimensional prob. distributions
    • Also useful for data compression and smoothing
  • Regression trees and model trees
    • Trees to predict continuous values rather than class labels

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