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{
    "pk": 38366,
    "title": "A Bayesian Approach to Survivorship Bias in Historical Data Analysis",
    "subtitle": null,
    "abstract": "Datasets such as \nSeshat\n have allowed researchers to quantitatively test hypotheses about premodern societies and states with great success. Nevertheless, one has to take into account potential sources of bias in the data such as a survivorship bias favouring the inclusion of long-lived over short-lived states. Bayesian methods can be used to complement standard modelling procedures to take this issue into account as is demonstrated by analysing the longevity distribution of premodern states.",
    "language": "en",
    "license": {
        "name": "Creative Commons Attribution 4.0",
        "short_name": "CC BY 4.0",
        "text": "Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.\n\nNo additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.",
        "url": "https://creativecommons.org/licenses/by/4.0"
    },
    "keywords": [
        {
            "word": "Cliodynamics"
        },
        {
            "word": "Bayesian statistics"
        },
        {
            "word": "Quantitative Social Science"
        },
        {
            "word": "Sociophysics"
        }
    ],
    "section": "Reports",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/4b11h9k0",
    "frozenauthors": [
        {
            "first_name": "Tobias",
            "middle_name": "",
            "last_name": "Wand",
            "name_suffix": "",
            "institution": "University of Münster",
            "department": "None"
        }
    ],
    "date_submitted": "2024-04-22T08:32:42Z",
    "date_accepted": "2024-04-22T08:32:42Z",
    "date_published": "2024-07-01T07:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cliodynamics/article/38366/galley/28850/download/"
        }
    ]
}