作者：FAN, JQ; GIJBELS, I
作者单位：Universite Catholique Louvain; University of North Carolina; University of North Carolina Chapel Hill
摘要：When estimating a mean regression function and its derivatives, locally weighted least squares regression has proven to be a very attractive technique. The present paper focuses on the important issue of how to select the smoothing parameter or bandwidth. In the case of estimating curves with a complicated structure, a variable bandwidth is desirable. Furthermore, the bandwidth should be indicated by the data themselves. Recent developments in nonparametric smoothing techniques inspired us to ...
作者：SPECKMAN, PL; MARRON, JS; SILVERMAN, B; NASON, G; WANG, KM; SEIFERT, B; GASSER, T; EFROMOVITCH, S; NUSSBAUM, M; WANG, YZ; VONSACHS, R; BRILLINGER, DR; NEUMANN, MH; HASTIE, T; FAN, JQ; ANTONIADIS, A; BIRGE, L; CRELLIN, NJ; MARTIN, MA; DOUKHAN, P; ENGEL, J; GEORGIEV, AA; LIU, H; GOOD, IJ; HALL, P; PATIL, P; HERRMANN, E; KOLACZYK, ED; LEPSKII, OV; MAMMEN, E; SPOKOINY, VG; LUCIER, B; MCCULLAGH, P; MOULIN, P; MULLER, HG; OLSHEN, RA; TSYBAKOV, AB; WAHBA, G; WALTER, GG; TIBSHIRANI, R
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of Bristol; University of Zurich; University of New Mexico; Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; University of Kaiserslautern; University of California System; University of California Berkeley; Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; AT&T; Nokia Corporation; Nokia Bell Labs; University of Toronto; Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA); Sorbonne Universite; Stanford University; Australian National University; CY Cergy Paris Universite; University of Bonn; Albemarle Corporation; Louisiana State University System; Louisiana State University; University of Pennsylvania; Virginia Polytechnic Institute & State University; Technical University of Darmstadt; University of Chicago; Federal Research Center Computer Science & Control of RAS; Institute Systems Analysis of Russian Academy of Sciences; Humboldt University of Berlin; Kharkevich Institute for Information Transmission Problems of the RAS; Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; Purdue University System; Purdue University; Telcordia Technologies; University of California System; University of California Davis; Stanford University; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Milwaukee
