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  • An Introduction to Modern Statistical Learning
  • Preface
  • 1 Introduction
  • I Representation and Inference
  • II Learning
  • III Appendices
    1. A The Calculus of Variations and Its Applications
    2. B Mathematical Appendix
    3. C Bonus Material
      1. C.1 Leave-one-out cross validation for linear regression in one step
    4. D A Review of Probabilistic Graphical Models
    5. Bibliography

Appendix C Bonus Material

  1. C.1 Leave-one-out cross validation for linear regression in one step