Parametric Statistical Modeling Algorithm

A Parametric Statistical Modeling Algorithm is a Learning Algorithm that assumes knowledge of the Dataset's underlying Distribution Function.

• AKA: Parametric Statistical Algorithm, Parametric Learning Algorithm.
• Context:
  • It can be:
    • a Parametric Classification Algorithm.
    • a Parametric Regression Algorithm.
• Example(s):
  • a Parametric Classification Algorithm.
    • Linear Classification Algorithm.
    • Logistic Regression Classification Algorithm.
    • Support Vector Machine Learning Algorithm.
  • a Parametric Regression Algorithm.
    • Linear Regression Algorithm.
    • Generalized Linear Model Learning Algorithm.
    • Mixture Model Learning Algorithm.
    • Probabilistic Graphical Model Learning Algorithm.
    • Hidden Markov Model Learning Algorithm.
  • …
• Counter-Example(s):
  • a Nonparametric Statistical Modeling Algorithm.
• See: Parametric.

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References

2009

• (Lafferty & Wasserman, 2009) ⇒ John D. Lafferty, and Larry Wasserman. (2009). “Statistical Machine Learning - Course: 10-702." Spring 2009, Carnegie Mellon Institute.
  • Parametric methods: Linear Regression, Model Selection, Generalized Linear Models, Mixture Models, Classification (linear, logistic, support vector machines), Graphical Models, Structured Prediction, Hidden Markov Models.

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