{"product_id":"9780387402673","title":"Maximum Penalized Likelihood Estimation: Volume II: Regression","description":"\u003cp\u003eUnique blend of asymptotic theory and small sample practice through simulation experiments and data analysis.\u003c\/p\u003e\u003cp\u003eNovel reproducing kernel Hilbert space methods for the analysis of smoothing splines and local polynomials. Leading to uniform error bounds and honest confidence bands for the mean function using smoothing splines\u003c\/p\u003e\u003cp\u003eExhaustive exposition of algorithms, including the Kalman filter, for the computation of smoothing splines of arbitrary order.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47016354808048,"sku":"9780387402673","price":199.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780387402673_p0.jpg?v=1763695703","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780387402673","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}