{"product_id":"9780367341008","title":"Bayesian Nonparametrics For Causal Inference And Missing Data (Chapman \u0026 Hall\/Crc Monographs On Statistics And Applied Probability)","description":"Bayesian nonparametric (BNP) methods can be used to flexibly model joint or conditional distributions, as well as functional relationships. These methods, along with causal and\/or missingness assumptions, can be used with the g-formula to infer causal effects.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003e| \u003cb\u003eAuthor: \u003c\/b\u003eMichael J. Daniels, Antonio Linero, Jason Roy\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003ePublisher: \u003c\/b\u003eChapman And Hall\/Crc\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003ePublication Date: \u003c\/b\u003eAug 23, 2023\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003eNumber of Pages: \u003c\/b\u003e262 pages\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003eLanguage: \u003c\/b\u003eEnglish\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003eBinding: \u003c\/b\u003eHardcover\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003eISBN-10: \u003c\/b\u003e036734100X\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003eISBN-13: \u003c\/b\u003e9780367341008\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Chapman And Hall\/Crc","offers":[{"title":"Default Title","offer_id":47589355127089,"sku":"9780367341008","price":150.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0798\/8215\/8385\/products\/9780367341008.jpg?v=1697910087","url":"https:\/\/www.recomparo.com\/es\/products\/9780367341008","provider":"ReComparo.com","version":"1.0","type":"link"}