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Merge pull request #247 from alan-turing-institute/patch-election-pre…
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…view-fix

Updating template preview for US election story
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crangelsmith authored Oct 11, 2023
2 parents 7b49aca + 2d18f21 commit 5d0bc77
Showing 1 changed file with 21 additions and 13 deletions.
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"cell_type": "markdown",
"metadata": {},
"source": [
"# Modelling Mail-In Votes In the 2020 US Election\n",
"\n",
"> Using hierarchical Bayesian modeling to predict outcomes and associated uncertainties in the 2020 US election.\n",
"\n",
"\n",
"- toc: false\n",
"- categories: [US Election, Linear regression, Bayesian modeling]\n",
"- author: Eric Daub\n",
"- image: images/story_previews/2021-02-26-US-Election.png"
"---\n",
"abstract: Using hierarchical Bayesian modeling to predict outcomes and associated uncertainties in the 2020 US election.\n",
"author:\n",
"- name: Eric Daub\n",
" url: https://www.turing.ac.uk/people/researchers/eric-daub\n",
" affiliation: \n",
" - id: ati\n",
" name: The Alan Turing Institute\n",
" city: London\n",
" url: www.turing.ac.uk\n",
"date: '2021-02-26'\n",
"keywords:\n",
"- us election\n",
"- linear regression\n",
"- bayesian modeling\n",
"license: CC BY\n",
"reviewers:\n",
"- name: Ryan Chan\n",
"- name: David Llewellyn-Jones\n",
"title: Modelling Mail-In Votes In the 2020 US Election\n",
"---"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Author\n",
"\n",
"* **Eric Daub**, Alan Turing Institute, GitHub: [@edaub](https://github.com/edaub).\n",
"\n",
"## Other Contributors\n",
"\n",
"* **Camila Rangel Smith**, Alan Turing Institute,\n",
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