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
tlmgrsetup 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
- Chapter 01: Probability and Mathematical Statistics
- Chapter 02: Linear Regression
- Chapter 03: Causal Inference
- Chapter 04: Maximum Likelihood and Machine Learning
- Chapter 05: Bayesian Statistics
- Chapter 06: Dependent Data - Time Series and Spatial Statistics
- Chapter 07: Reinforcement Learning - Policy-Gradient Methods
- Chapter 99: Mathematical Background Appendix