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tom mcandrew
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.github/workflows/deploy.yml

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# This file was created automatically with `jupyter-book init --gh-pages` 🪄 💚
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# Ensure your GitHub Pages settings for this repository are set to deploy with **GitHub Actions**.
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name: Jupyter Book (via myst) GitHub Pages Deploy
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on:
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push:
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# Runs on pushes targeting the default branch
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branches: [main]
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env:
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# `BASE_URL` determines, relative to the root of the domain, the URL that your site is served from.
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# E.g., if your site lives at `https://mydomain.org/myproject`, set `BASE_URL=/myproject`.
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# If, instead, your site lives at the root of the domain, at `https://mydomain.org`, set `BASE_URL=''`.
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BASE_URL: /${{ github.event.repository.name }}
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# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
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permissions:
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contents: read
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pages: write
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id-token: write
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# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
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# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
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concurrency:
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group: 'pages'
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cancel-in-progress: false
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jobs:
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deploy:
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environment:
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name: github-pages
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url: ${{ steps.deployment.outputs.page_url }}
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Setup Pages
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uses: actions/configure-pages@v3
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- uses: actions/setup-node@v4
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with:
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node-version: 18.x
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- name: Install Jupyter Book (via myst)
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run: npm install -g jupyter-book
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- name: Build HTML Assets
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run: jupyter-book build --html
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- name: Upload artifact
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uses: actions/upload-pages-artifact@v3
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with:
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path: './_build/html'
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- name: Deploy to GitHub Pages
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id: deployment
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uses: actions/deploy-pages@v4

ch1.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "21a6615c-b9eb-4081-a362-e0bbdf82590a",
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"metadata": {},
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"source": [
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"# Chapter 1"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4812cc2a-428d-4eee-aa2a-406a4b4d871e",
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"metadata": {},
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"source": [
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"## Time series data versus IID data \n",
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"\n",
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"IID\n",
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"Correlated over time \n",
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"Markov assumption \n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f2aca56d-50c3-4bd0-a087-81cca8ad4d6b",
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"metadata": {},
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"source": [
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"## Influenza-like illness"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7614c9a3-efc5-4037-b68d-9a9d97bef067",
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"metadata": {},
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"source": [
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"## COVID Community mobility"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0ff18230-d314-4bd8-8033-99c15cd2636d",
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"metadata": {},
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"source": [
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"## Mpox incidence"
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]
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},
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{
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"cell_type": "markdown",
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"id": "57dfd0e6-9805-4754-b774-738058c1fd2f",
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"metadata": {},
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"source": [
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"## Correlation, Covariance, and the Corrolelogram"
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]
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},
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{
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"cell_type": "markdown",
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"id": "aa674e67-12ab-497d-bf4f-aa0c811b8e64",
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"metadata": {},
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"source": [
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"## Smoothing methods"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "50c0eb5c-acb1-4099-8856-aafeadb90719",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e8d7b8b3-1680-4d53-ae30-4804f79d2868",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "915fd2f8-fb4a-4937-aac0-09a36bef5785",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "363ad686-aaf7-427d-9362-87cd366317c6",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8a31ece2-cbf6-499a-9cff-ae9061a08b56",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "899076c1-dd9b-43f9-80a8-9111d06f3626",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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