{"product_id":"bayesian-nonparametrics-for-causal-inference-and-missing-data-9780367341008","title":"Bayesian Nonparametrics for Causal Inference and Missing Data","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 248 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 23 August 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e\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\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 538g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 159 x 242 x 22 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367341008\u003c\/p\u003e","brand":"Michael J. Daniels,Antonio Linero,Jason Roy","offers":[{"title":"Hardback","offer_id":44531951796474,"sku":"9780367341008","price":99.96,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1693563739069_book.jpg?v=1693663433","url":"https:\/\/shulphink.com\/products\/bayesian-nonparametrics-for-causal-inference-and-missing-data-9780367341008","provider":"Shulph Ink","version":"1.0","type":"link"}