stats305c/_toc.yml at spring2026 · slinderman/stats305c · GitHub

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format: jb-book
root: index

parts:
  - chapters:
    - file: project

  - caption: "Part I: Foundations"
    chapters:
    - file: chapters/01_01_bayes.md
    - file: chapters/01_02_normal.ipynb
    - file: chapters/01_03_mvn.ipynb
    - file: chapters/01_04_pgms.ipynb
    - file: chapters/01_05_hierarchical.ipynb
    - file: chapters/01_06_model_comparison.md

  - caption: "Part II: Latent Variable Models"
    chapters:
    - file: chapters/02_01_mixtures.ipynb
    - file: chapters/02_02_lda.ipynb
    - file: chapters/02_03_linear_lvms.ipynb
    - file: chapters/02_04_vaes.ipynb
    - file: chapters/02_05_diffusion.md

  - caption: "Part III: Inference and Learning Algorithms"
    chapters:
    - file: chapters/03_01_mcmc.ipynb
    - file: chapters/03_02_hmc.ipynb
    - file: chapters/03_03_em.ipynb
    - file: chapters/03_04_cavi.ipynb
    - file: chapters/03_05_advi.ipynb
    - file: chapters/03_06_rl.ipynb
    - file: chapters/03_07_continual_learning.md

  - caption: "Part IV: Sequence Models"
    chapters:
    - file: chapters/04_01_hmms.ipynb
    - file: chapters/04_02_lds.ipynb
    - file: chapters/04_03_slds.ipynb
    - file: chapters/04_04_rnns.md
    - file: chapters/04_05_transformers.md
    - file: chapters/04_06_linear_attention.md
    - file: chapters/04_07_parallel_rnns.md
    - file: chapters/04_08_discrete_diffusion.md

  - caption: "Part V: Stochastic Processes"
    chapters:
    - file: chapters/05_01_gps.ipynb
    - file: chapters/05_02_sdes.md
    - file: chapters/05_03_poisson_processes.ipynb
    - file: chapters/05_04_dpmm.ipynb
    - file: chapters/05_05_ctmc.md

  - caption: Labs
    chapters:
    - file: labs/lab0/lab0.ipynb
    - file: labs/lab1/lab1.ipynb
    - file: labs/lab2/lab2.ipynb
    - file: labs/lab3/lab3.ipynb
    - file: labs/lab4/lab4.ipynb
    - file: labs/lab5/lab5.ipynb
    - file: labs/lab6/lab6.ipynb
    - file: labs/lab7/lab7.ipynb
    - file: labs/lab8/lab8.ipynb