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Probability for Machine Learning
/Statistical Inference

Statistical Inference

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Statistical Inference

Statistical inference uses sample data to draw conclusions about population parameters, test hypotheses, and quantify uncertainty.

Key concepts in statistical inference include:

  • Parameter Estimation: Methods like maximum likelihood estimation and method of moments for determining population parameters from samples.
  • Hypothesis Testing: Procedures for making decisions about population properties based on sample evidence.
  • Confidence Intervals: Ranges that likely contain the true parameter value, with quantified confidence levels.
  • P-values: Measures of evidence against a null hypothesis based on observed data.