{"product_id":"9781441929280","title":"Maximum Penalized Likelihood Estimation: Volume I: Density Estimation","description":"\u003cp\u003eThis book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into technical tools from probability theory and applied mathematics.\u003c\/p\u003e","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47026271453424,"sku":"9781441929280","price":229.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781441929280_p0.jpg?v=1763797837","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781441929280","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}