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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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