smoothing#

  • Series: lecture-dp

  • File: lectures/smoothing.md

  • Audit date: 2026-05-28

  • Categories audited: writing, math, code, jax, figures, references, links, admonitions

  • Overall score: 5.5 / 10

  • Priority: HIGH

Score breakdown#

Category

Score

One-line note

Writing

8/10

H2/H3 mostly sentence case.

Math

3/10

Apostrophe transpose throughout LQ section; \cal N distribution; bare E_t.

Code

8/10

Unicode Greek; pip install at top; PEP8; figsize used 2×.

JAX

out of scope

not a JAX lecture.

Figures

6/10

Title-Case 'Periods' xlabel (4×); 2 figsize calls.

References

4/10

Four narrative-author {cite} patterns (e.g. “Lucas and Stokey {cite}…”) — should be {cite:t}.

Links

4/10

Six raw markdown links to python-intro.quantecon.org / python.quantecon.org.

Admonitions

N/A

No exercises / proofs.

Issues#

Critical#

None found.

High severity#

  • [qe-math-002] — Apostrophe ' used as transpose throughout the LQ derivation. Lines: 151, 177, 190, 196, and dozens through the LQ section. Count: 50+ occurrences.

  • [qe-link-002] — Six raw markdown links to python-intro.quantecon.org / python.quantecon.org cross-series URLs; should be {doc} intersphinx references.

Medium severity#

  • [qe-math-011 (proposed)] — Multivariate normal written as {\cal N}(0,I) (line 140); style is plain N(0, I).

  • [qe-math-010 (proposed)] — Bare E_t b_{t+1} (lines 190, 196) and \mathbb E_t without braces (lines 177, 184); style is \mathbb{E}_t.

  • [qe-ref-001] — Narrative-author citations using parenthetical {cite}. Count: 4 occurrences (e.g. “Lucas and Stokey ”, “Barro ”, “Hall ”).

  • [qe-fig-006] — Title-Case xlabel('Periods') 4 times. Lines: 333, 342, 924, 933.

Low severity#

  • [qe-writing-001] — A few multi-sentence paragraphs.

  • [qe-fig-001] — figsize= set 2 times.

Strengths#

  • Lecture title in correct Title Case.

  • Most H2/H3 headings sentence case (“Background”, “Linear state space version of complete markets model”, “Interpretation of graph”, “Incomplete markets version”, “Finite state Markov income process”).

  • Matrices use bmatrix.

  • “IID” used correctly.

  • \mathbb{P} and \mathbb{E} partially used.

  • Equation labels and {eq} references used cleanly.

  • pip install at top; Unicode Greek in code.

  • No matplotlib titles, no spine issues.