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mmckyHengchengZhangjstacthomassargent30tom-fredricksonDM
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ENH: enable linkchecker (#174)
* ENH: enable linkchecker * Fix typo * misc (#254) * Tom's edit of equalizing diff lecture June 28 * Tom's first edit of day of cons smoothing lecture * Tom's second edit of June 28 of consumption-smoothing lecture * Fix userwarning * Tom's June 29 edits of equalizing difference lecture * Tom's edits of consumption smoothing lecture, June 29 * Updates * Updates * Updates * Updates * Tom's June 30 edit of consum smoothing lecture * MAINT: review workflows and actions (#251) * MAINT: review workflows and actions * Fix Syntax for PDF * Update cache and publish workflows * enable some mathjax macros * FIX: fail the cache on execution issue * FIX: heavy_tails * Add ignored link * Fix broken links * update reference to QuantEcon.py * fix all instances --------- Co-authored-by: hengchengzhang <hengcheng.zhang@outlook.com> Co-authored-by: John Stachurski <john.stachurski@gmail.com> Co-authored-by: thomassargent30 <ts43@nyu.edu> Co-authored-by: Thomas Sargent <tom@pop-os.localdomain>
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‎.github/workflows/linkcheck.yml‎

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# name: Link Checker [Anaconda, Linux]
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# on:
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# pull_request:
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# types: [opened, reopened]
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# schedule:
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# # UTC 12:00 is early morning in Australia
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# - cron: '0 12 * * *'
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# jobs:
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# link-check-linux:
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# name: Link Checking (${{ matrix.python-version }}, ${{ matrix.os }})
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# runs-on: ${{ matrix.os }}
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# strategy:
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# fail-fast: false
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# matrix:
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# os: ["ubuntu-latest"]
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# python-version: ["3.9"]
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# steps:
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# - name: Checkout
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# uses: actions/checkout@v2
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# - name: Setup Anaconda
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# uses: conda-incubator/setup-miniconda@v2
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# with:
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# auto-update-conda: true
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# auto-activate-base: true
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# miniconda-version: 'latest'
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# python-version: 3.9
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# environment-file: environment.yml
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# activate-environment: quantecon
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# - name: Download "build" folder (cache)
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# uses: dawidd6/action-download-artifact@v2
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# with:
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# workflow: cache.yml
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# branch: main
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# name: build-cache
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# path: _build
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# - name: Link Checker
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# shell: bash -l {0}
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# run: jb build lectures --path-output=./ --builder=custom --custom-builder=linkcheck
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# - name: Upload Link Checker Reports
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# uses: actions/upload-artifact@v2
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# if: failure()
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# with:
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# name: linkcheck-reports
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# path: _build/linkcheck
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name: Link Checker [Anaconda, Linux]
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on:
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pull_request:
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types: [opened, reopened]
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schedule:
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# UTC 12:00 is early morning in Australia
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- cron: '0 12 * * *'
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jobs:
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link-check-linux:
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name: Link Checking (${{ matrix.python-version }}, ${{ matrix.os }})
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runs-on: ${{ matrix.os }}
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strategy:
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fail-fast: false
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matrix:
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os: ["ubuntu-latest"]
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python-version: ["3.10"]
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steps:
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- name: Checkout
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uses: actions/checkout@v2
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- name: Setup Anaconda
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uses: conda-incubator/setup-miniconda@v2
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with:
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auto-update-conda: true
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auto-activate-base: true
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miniconda-version: 'latest'
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python-version: "3.10"
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environment-file: environment.yml
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activate-environment: quantecon
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- name: Download "build" folder (cache)
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uses: dawidd6/action-download-artifact@v2
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with:
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workflow: cache.yml
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branch: main
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name: build-cache
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path: _build
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- name: Link Checker
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shell: bash -l {0}
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run: jb build lectures --path-output=./ --builder=custom --custom-builder=linkcheck
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- name: Upload Link Checker Reports
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uses: actions/upload-artifact@v2
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if: failure()
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with:
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name: linkcheck-reports
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path: _build/linkcheck

‎lectures/_config.yml‎

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sphinx:
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extra_extensions: [sphinx_multitoc_numbering, sphinxext.rediraffe, sphinx_exercise, sphinx_togglebutton, sphinx_proof, sphinx_tojupyter]
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config:
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# false-positive links
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linkcheck_ignore: ['https://doi.org/https://doi.org/10.2307/1235116']
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# myst-nb config
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nb_render_image_options:
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width: 80%

‎lectures/about.md‎

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- [Aakash Gupta](https://github.com/AakashGfude)
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- [Shu Hu](https://github.com/shlff)
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- [Jiacheng Li](https://l10727@nyu.edu)
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- Jiacheng Li
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- [Smit Lunagariya](https://github.com/Smit-create)
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- [Matthew McKay](https://github.com/mmcky)
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- [Maanasee Sharma](https://github.com/maanasee)

‎lectures/eigen_I.md‎

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The pattern demonstrated here is because we have complex eigenvalues and eigenvectors.
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We can plot the complex plane for one of the matrices using `Arrow3D` class retrieved from [stackoverflow](https://stackoverflow.com/questions/22867620/putting-arrowheads-on-vectors-in-matplotlibs-3d-plot).
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We can plot the complex plane for one of the matrices using `Arrow3D` class retrieved from [stackoverflow](https://stackoverflow.com/questions/22867620/putting-arrowheads-on-vectors-in-a-3d-plot).
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```{code-cell} ipython3
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---

‎lectures/markov_chains_I.md‎

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### Using QuantEcon's routines
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QuantEcon.py has routines for handling Markov chains, including simulation.
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[QuantEcon.py](http://quantecon.org/quantecon-py) has routines for handling Markov chains, including simulation.
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Here's an illustration using the same $P$ as the preceding example
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### Calculating stationary distributions
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A stable algorithm for computing stationary distributions is implemented in QuantEcon.py.
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A stable algorithm for computing stationary distributions is implemented in [QuantEcon.py](http://quantecon.org/quantecon-py).
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Here's an example
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‎lectures/markov_chains_II.md‎

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In fact it has a periodic cycle --- the state cycles between the two states in a regular way.
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This is called [periodicity](https://stats.libretexts.org/Bookshelves/Probability_Theory/Probability_Mathematical_Statistics_and_Stochastic_Processes_(Siegrist)/16%3A_Markov_Processes/16.05%3A_Periodicity_of_Discrete-Time_Chains#:~:text=A%20state%20in%20a%20discrete,limiting%20behavior%20of%20the%20chain.).
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This is called [periodicity](https://stats.libretexts.org/Bookshelves/Probability_Theory/Probability_Mathematical_Statistics_and_Stochastic_Processes_(Siegrist)/16%3A_Markov_Processes/16.05%3A_Periodicity_of_Discrete-Time_Chains).
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It is still irreducible so ergodicity holds.
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