Density estimation

From Machinelearning
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In machine learning, density estimation is defined as an unsupervised learning technique. The purpose of density estimation is to infer the probability density function (PDF), from observations of a random variable.[1] It learns relations among attributes in the data.[2]

Types

  • Parametric density estimation:
  • Non-parametric density estimation:

Terminology

  • Estimator
  • Consistent estimator
  • Unbiased estimator
  • Parametric methods
  • Non-parametric methods
  • Explicit density estimation
  • Implicit density estimation

References