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{
    "pk": 27694,
    "title": "Statistics as Pottery: Bayesian Data Analysis using Probabilistic Programs (Tutorial)",
    "subtitle": null,
    "abstract": "Probability theory is the “logic of science” (Jaynes, 2003) and\nBayesian data analysis (BDA) is the glue that brings that logic\nto data. BDA is a general, flexible alternative to standard statis-\ntical approaches (e.g., NHST) that provides the scientist with\nclarity and ease to address their personal scientific questions.\nDoing BDA in a probabilistic programming language (PPL) af-\nfords several additional advantages: a compositional approach\nto writing models, separation of model specification from al-\ngorithmic implementation (a la lm() in R), and continuity from\narticulating data analytic models to Bayesian cognitive mod-\nels. Furthermore, specifying one’s model and data analysis\nin a PPL allows you to search for “optimal experiments” for\nfree. This tutorial will walk the participant through the basics\nof BDA to state-of-the-art applications, using an interactive on-\nline web-book and tools for integrating BDA into their existing\nworkflow.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "bayesian data analysis; bayesian cognitive modeling; probabilistic programming"
        }
    ],
    "section": "Tutorials",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/8hn1k8qp",
    "frozenauthors": [
        {
            "first_name": "Michael",
            "middle_name": "Henry",
            "last_name": "Tessler",
            "name_suffix": "",
            "institution": "Stanford University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27694/galley/17335/download/"
        }
    ]
}