{"product_id":"9780367341008","title":"Bayesian Nonparametrics for Causal Inference and Missing Data (Chapman \u0026 Hall\/crc Monographs on Statistics and Applied Probability)","description":"\u003cp\u003eBayesian 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.\u003c\/p\u003e","brand":"Chapman \u0026 Hall\/CRC","offers":[{"title":"Default Title","offer_id":49350359810275,"sku":"00000_00000_00000_00000","price":166.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0764\/3758\/6147\/files\/9780367341008-1.jpg?v=1788334323","url":"https:\/\/usa.kinokuniya.com\/products\/9780367341008","provider":"Books Kinokuniya USA","version":"1.0","type":"link"}