Computational Statistics

eth zurich spring 2025

In “Computational Statistics” we discuss modern statistical methods for data analysis, including methods for data exploration, prediction and inference. We pay attention to algorithmic aspects, theoretical properties and practical considerations and obtain an overview of modern statistical methods for data analysis, including their algorithmic aspects and theoretical properties.

Contents

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  1. Multiple Linear Regression
    1. The Linear Model
    2. Least Squares
    3. Tests and Confidence Intervals
    4. Check of Model Assumptions
  2. Nonparametric Density Estimation