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🌐 [translation-sync] [var_dmd, svd_intro, measurement_models] Correct math, add exercises - #304
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✅ Translation Quality ReviewVerdict: PASS | Model: claude-sonnet-5 | Date: 2026-10-22 📝 Translation Quality
Summary: 两篇讲座的翻译整体质量很高,专业术语准确且与术语表高度一致,数学公式与代码块完整保留,MyST 语法无错误。新增的 DMD 相关章节翻译流畅、准确,复杂的线性代数证明和解释都清晰传达。发现的问题均为轻微级别,主要涉及个别术语注释的处理方式和中英文夹杂表达的一致性,不影响整体理解和学术严谨性。 新增的 DMD 相关章节(右/左特征向量、模态表示、长期响应、模拟示例)在数学符号和公式引用(如 {eq}, {prf:ref})的翻译中保持了高度准确与一致性 专业术语(如'奇异值分解'、'广义逆矩阵'、'主成分回归'、'格兰杰因果关系')在全篇中保持统一,符合术语表要求 代码块、LaTeX 公式、MyST 指令({code-cell}, {prf:proposition}, {solution-start} 等)均完整保留,未破坏原始结构 长句的拆分和衔接词的使用使译文读起来符合学术中文的表达习惯,未出现生硬直译的现象 Suggestions:
🔍 Diff Quality
Summary: Both target documents correctly mirror the source's new content (new exercises, Granger-causality section, VAR/DMD exercises, rewritten intro) in the same relative positions, preserve document/heading structure, and update the translation heading-maps appropriately for both files. Issues:
This review was generated automatically by action-translation review mode. |
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🟡 Changes recommended
var_dmd.md uses two different Chinese terms for the same concept in two places (高瘦型 vs 瘦高 for m≫n, and 肘部法则 vs 拐点法则 for the "elbow rule"), which should be unified for consistency.
2 open issues
统一高瘦型数据集的术语表述 · New 统一“肘部法则”与“拐点法则”名称 · New
What changed in this PR
This is an automated translation-sync PR that propagates upstream English edits (from QuantEcon/lecture-python.myst PR #1055) into the Chinese edition of three lectures. The upstream changes correct math, restructure var_dmd.md around a reduced-rank VAR / DMD-algorithm narrative, and add worked exercises to var_dmd.md and measurement_models.md. The PR keeps the translated content in structural lock-step with the source, updates the per-file translation state metadata, and adds the new bibliography entries the lectures now cite.
Changes:
- Re-translate and restructure
var_dmd.md(new sections: reduced-rank VAR, DMD algorithm, left/right eigenvectors, state-space representation, long-run responses, simulated example, exercises) and add math corrections + exercises tomeasurement_models.md; minor punctuation/term polish insvd_intro.md. - Add five bib entries (
Geweke1982,sargent2026dynamic,SSY_CEX_2026,stock_watson2002,anderson1951) backing the newly cited works. - Refresh
.translate/state/*.ymlmetadata (source-sha, synced-at, model, mode, section-count, tool-version).
| File | Description |
|---|---|
| lectures/var_dmd.md | Full re-translation/restructuring with new DMD sections and exercises; headings map updated to match body |
| lectures/measurement_models.md | Math-correction edits, timing-convention relabeling (ε→w), and three new exercises with solutions |
| lectures/svd_intro.md | Minor term cleanup and full-width punctuation fixes |
| lectures/_static/quant-econ.bib | Adds 5 references cited by the updated lectures |
| .translate/state/var_dmd.md.yml | Sync-state metadata update (mode UPDATE, section-count 10) |
| .translate/state/svd_intro.md.yml | Tool-version bump |
| .translate/state/measurement_models.md.yml | Sync-state metadata update (mode UPDATE, section-count 8) |
Review effort: Balanced
| 公式 {eq}`eq:Ahatform101` 的右边正比于 $X_{t+1}$ 和 $X_t$ 的经验交叉二阶矩矩阵,乘以 $X_t$ 的二阶矩矩阵的逆。 | ||
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| **高瘦型情况:** | ||
| **瘦高情形:** |
| ``` | ||
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| 将等式 {eq}`eq:APhiLambda` 两边的 $m \times 1$ 向量对应项相等得到: | ||
| 奇异值在 $j = 1, 2, 3$ 时迅速下降,随后趋于平稳,因此按照拐点法则,我们将 $r$ 设为 3。 |
The resync of QuantEcon/lecture-python.myst#1055 regenerates all three of its lectures, but svd_intro.md was delivered by #303 from the same English. Applying #1055's changes again altered 9 lines of a translation that was already current, so svd_intro.md and its state file go back to main's versions. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The resync translated the rewritten sections of QuantEcon/lecture-python.myst#1055 afresh, so the conventions Songyi Wang and Humphrey Yang set in their 2025 review of this lecture did not survive. Restored, text only (structure unchanged: 992 lines, 16 headings, 28 directives, 88 math lines, 12 code cells, 2 links): - pseudo-inverse is 广义逆矩阵 and Moore-Penrose is 穆尔-彭罗斯 (7 lines), with the reviewers' Baidu Baike link and their note on the choice; - the case labels are 短胖型情况 and 高瘦型情况, and tall-skinny is 高瘦型; - reduced SVD is 简化 (the resync wrote 约化); - a dimension before 矩阵 takes 的: `$m \times n$ 的矩阵` (18 places). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

Automated Translation Sync
This PR contains automated translations from QuantEcon/lecture-python.myst.
Source PR
#1055 - [var_dmd, svd_intro, measurement_models] Correct math, add exercises
Files Updated
lectures/measurement_models.md.translate/state/measurement_models.md.ymllectures/svd_intro.md.translate/state/svd_intro.md.ymllectures/var_dmd.md.translate/state/var_dmd.md.ymllectures/_static/quant-econ.bibThe following sections exist in the current translation but have no counterpart in the source document, so this sync removes them (the translation mirrors the source's structure). If the source deleted these sections, this removal is correct — merge as usual. If they are human-authored additions you want to keep, move them into a target-only file before merging (see adding content to a translated edition).
lectures/var_dmd.md:一阶向量自回归,动态模态分解(DMD),表示法1,表示法 2,表示法3Details
This PR was created automatically by the translation action.