Update made to Markov Chains: Basic Concepts lecture by Jiarui-ZH · Pull Request #479 · QuantEcon/lecture-python-intro

Jiarui-ZH · 2024-06-27T05:51:37Z

Update to Markov Chains: Basic Concepts lecture (#453 )

Content

In “A stochastic matrix (or Markov matrix) is an 𝑛×𝑛 square matrix 𝑃 such that each row of 𝑃 is a probability mass function over 𝑛 outcomes.” delete “over 𝑛 outcomes”.
Change titles “32.2.2.1. Example 1” and “32.2.2.2. Example 2” into titles that are intuitive of the respective examples. )
For Example 3 (the example for democracy (D), autocracy (A), and an intermediate state called anocracy (N)), implement the following order: table; figure; matrix.
Change date to time in section of “32.2.3. Defining Markov chains”
Add “(probability mass function)” such that “𝑃(𝑥,⋅) is the conditional distribution (probability mass function) of 𝑋𝑡+1 given.”
In “It can be shown that for a long series drawn from P, the fraction of the sample that takes value 0 will be about 0.25.”, change to “It can be proven that for a long series drawn from P, the fraction of the sample that takes value 0 will be about 0.25.”
In the section “32.4. Distributions over time”, have subsections dividing into two parts: “One unit of time” and “m steps in the future”
In 32.4.1, move the function above (after “m-th power of 𝑃”). After the function, add text “For one way to see it, consider again (32.6), but now with a 𝜓𝑡 that puts all probability on state 𝑥.
Then 𝜓𝑡 is a vector with 1 in position 𝑥 and zero elsewhere.
Inserting this into (32.6), we see that, conditional on 𝑋𝑡=𝑥, the distribution of 𝑋𝑡+𝑚 is the 𝑥-th row of 𝑃𝑚.”
In 32.4.2, instead of the link “considered above”, include the section number (32.4.1) with a link.
Search for “considered above” and replace it with section number and make sure the hyperlink works. (In pdf version, the “considered above” link does not work.)
In 32.4.3, in (2), put a note to better explain “cross-sectional frequencies”.

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github-actions · 2024-06-27T05:58:28Z

🚀 Deployed on https://684f773792cd7d1ae45b5cd7--taupe-gaufre-c4e660.netlify.app

mmcky

Thanks @Jiarui-ZH just some minor comments below

lectures/markov_chains_I.md

Jiarui-ZH · 2024-06-30T12:03:04Z

@mmcky, Thank you for the review, please let me know if there is any thing else I need to change!

mmcky · 2024-06-30T23:38:21Z

thanks @Jiarui-ZH there are some undefined labels that need to be fixed. Once this is building I will do a full review.

/home/runner/work/lecture-python-intro/lecture-python-intro/lectures/markov_chains_I.md: WARNING: label 'mc_eg2' not found.
/home/runner/work/lecture-python-intro/lecture-python-intro/lectures/markov_chains_I.md:627: WARNING: prf:ref reference target not found: mc_eg2
/home/runner/work/lecture-python-intro/lecture-python-intro/lectures/markov_chains_I.md: WARNING: label 'mc_eg1' not found.
/home/runner/work/lecture-python-intro/lecture-python-intro/lectures/markov_chains_I.md:649: WARNING: prf:ref reference target not found: mc_eg1
/home/runner/work/lecture-python-intro/lecture-python-intro/lectures/markov_chains_I.md: WARNING: label 'mc_eg1' not found.
/home/runner/work/lecture-python-intro/lecture-python-intro/lectures/markov_chains_I.md:743: WARNING: prf:ref reference target not found: mc_eg1
/home/runner/work/lecture-python-intro/lecture-python-intro/lectures/markov_chains_I.md: WARNING: label 'mc_eg2' not found.
/home/runner/work/lecture-python-intro/lecture-python-intro/lectures/markov_chains_I.md:857: WARNING: prf:ref reference target not found: mc_eg2

Jiarui-ZH · 2024-07-01T17:31:06Z

Hi @mmcky , sorry for the trouble but can you give me a short rundown on the how prf:ref is used? I am still unclear with the referring of markdown

mmcky · 2024-07-02T00:08:31Z

Hi @mmcky , sorry for the trouble but can you give me a short rundown on the how prf:ref is used? I am still unclear with the referring of markdown

Hi @Jiarui-ZH here are the docs re: syntax

https://sphinx-proof.readthedocs.io/en/latest/syntax.html

you essentially use the label that is assigned to the directive item as a reference such as:

{prf:ref}`my-theorem`

Jiarui-ZH · 2024-07-04T06:15:11Z

Everything except for simplifying figures is mentioned in #453 is resolved

mmcky

@jstac this is ready for your review.

mmcky · 2024-07-05T04:45:47Z

lectures/markov_chains_I.md


 (mc_eg1)=
-#### Example 2
+#### Example 2: Unemployment


thanks @Jiarui-ZH for opening #502. We can deal with that separately.

Jiarui-ZH · 2024-07-15T05:44:12Z

@mmcky I have tried to use the sphinix-proof for exampeles however the following warning pops up. I am not sure why this is happening it would be great if you can review this.

mmcky · 2024-07-15T22:40:46Z

Thanks for reaching out @Jiarui-ZH.

The main issues were:

The example directives were missing a closing gate using backticks.
When you have nested directives it is best practice to use different levels of backticks. So the main example directive would use 4 ticks while the nested directives use 3 ticks.

See 088d92b for fixes.

Jiarui-ZH · 2024-07-17T02:36:27Z

ahh I see, thank you for the fixes

mmcky · 2024-07-19T03:10:17Z

@Jiarui-ZH are there any other additions you are planning to make to this PR?

Jiarui-ZH · 2024-08-05T02:43:33Z

@mmcky Sorry for the late reply I have been swamped with deferred exams. I have made my final update to this lecture. Please let me know if there is anything else I should update

Jiarui-ZH · 2024-08-05T02:52:07Z

for Example 1: Economic states and Example 2: Unemployment which are the only two examples that were referred back to later in the lecture I left them as they are as I thought they are a bit long to be using prf:example and looks neat enough already

mmcky · 2024-10-11T02:03:08Z

@Jiarui-ZH just organising for this to get merged.
Would you have time to resolve the current conflict? It seems straight forward and can be done via the web interface but let me know if you have any questions.

Jiarui-ZH · 2024-10-11T03:16:25Z

Resolved!

mmcky · 2024-10-15T02:59:02Z

lectures/markov_chains_I.md

-* The red, blue and green dots are initial marginal probability distributions  $\psi_1, \psi_2, \psi_3$, each of which is represented as a vector in $\mathbb R^3$.
-* The transparent dots are the marginal distributions $\psi_i P^t$ for $t = 1, 2, \ldots$, for $i=1,2,3.$.
-* The yellow dot is $\psi^*$.
+\update_markov_chain_I


@Jiarui-ZH is this meant to be a link?

I deleted this as an error.

mmcky · 2025-06-16T01:37:54Z

@HumphreyYang or @nisha617 would either of you have time to have a Quick Look over these changes?

Update made to Markov Chains: Basic Concepts lecture

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update to markov chain I lecture

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Merge branch 'main' into update_markov_chain_I

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Jiarui-ZH added 2 commits July 4, 2024 15:58

cross-sectional frequency explaination added

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change prf to ref

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[markov_chain_I] Move example subsections to sphinx-proof examples

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Jiarui-ZH and others added 2 commits July 15, 2024 15:51

minor update

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fix syntax for example

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This was referenced Jul 28, 2024

Add prf:example environment to Examples in the lectures #520

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Spelling/Grammar checks #532

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final update to usage of syntax for example

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Jiarui-ZH added ready and removed ready in-work labels Aug 5, 2024

Merge branch 'main' into update_markov_chain_I

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mmcky and others added 3 commits June 16, 2025 11:35

removing an error

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Merge branch 'main' into update_markov_chain_I

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Merge branch 'main' into update_markov_chain_I

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