A structured set of methods notes migrated from the LaTeX source in 00_methods_notes.

Original Source

Why this notebook version helps

  • Easy internal hyperlinks across topics and chapters.
  • Fast incremental edits without depending on a brittle TeX compilation stack.
  • No machine-specific tlmgr setup pain to make small changes.
  • Agent/browser access to native Markdown/HTML content (instead of OCR over PDFs), which improves retrieval quality and reduces context overflow risk.

Sections

  1. Chapter 01: Probability and Mathematical Statistics
  2. Chapter 02: Linear Regression
  3. Chapter 03: Causal Inference
  4. Chapter 04: Maximum Likelihood and Machine Learning
  5. Chapter 05: Bayesian Statistics
  6. Chapter 06: Dependent Data - Time Series and Spatial Statistics
  7. Chapter 07: Reinforcement Learning - Policy-Gradient Methods
  8. Chapter 99: Mathematical Background Appendix

Workflow