{"product_id":"9780367183738","title":"Sparse Graphical Modeling for High Dimensional Data : A Paradigm of Conditional Independence Tests (Chapman \u0026 Hall\/crc Monographs on Statistics and Applied Probability)","description":"\u003cp\u003eThis book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; unified treatments for covariate adjustments, data integration, and network comparison.\u003c\/p\u003e","brand":"Chapman \u0026 Hall\/CRC","offers":[{"title":"Default Title","offer_id":49098204283107,"sku":"00000_00000_00000_00000","price":140.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0764\/3758\/6147\/files\/9780367183738-1.jpg?v=1788333832","url":"https:\/\/usa.kinokuniya.com\/ja\/products\/9780367183738","provider":"Books Kinokuniya USA","version":"1.0","type":"link"}