[1]  Brumback B, Rice J A. Smoothing spline models for the analysis of nested and crossed samples of curves (with discussion).  J Amer Statist Assoc, 1998, 93: 961--994

[2]  Carroll R J, Ruppert D,  Welesh  A H. Nonparametric estimation via local estimating equations. J Amer Statist Assoc, 1998, 93: 214--227

[3] Chen H, Shiau J.  Data-driven efficient estimation for a partially linear model.  Ann Statist, 1994, 22: 211--237

[4] Chen R,  Tsay  R. Functional-coefficient autoregressive models.  J Amer Statist Assoc, 1993, 88: 298--308

[5]  Donald S G, Newey W K.  Series estimation of semilinear models.  J Multivariate Anal, 1994, 50: 30--40

[6]  Engle R F, Granger W J, Rice J,   Weiss A. Semiparametric estimates of the relation between weather and electricity sales. J Amer Statist Assoc, 1986, 80: 310--319

[7] Eubank R,  Speckman P. Trigonometric series regression estimators with an application to partially linear models.  J Multivariate Anal, 1993, 32: 70--84

[8] Fan J,  H\"ardle W, Mammen E.  Direct estimation  of low-dimensional components in additive models. Ann Statist, 1998, 26: 943--971

[9] Fan J,  Huang T. Profile likelihood inferences on semiparametric varying-coefficient partially linear models. Bernoulli, 2005, 11: 1031--1057

[10]  Fan J, Zhang C,  Zhang J.  Generalized likelihood ratio statistics and Wilks phenomenon. Ann Statist, 2001, 29: 153--193

[11]  Fan J,  Zhang W.  Statistical estimation in varying coefficient models. Ann Statist, 1999, 27:  1491--1518

[12] Gao J.  The laws of the iterated logarithm of some estimates in partly linear models. Statist Probab Lett, 1995, 25: 153--162

[13]  Hamilton A,  Truong K.  Local linear estimation in partly linear models. J Multivariate Anal, 1997, 60: 1--19

[14]  Hardle W,  Liang H,   Gao J T.  Partially linear models. Heidelberg: Physica-Verlag, 2000

[15] Hastie T J,  Tibshirani R. Varying-coefficient models. J Roy Statist Soc B, 1993, 55: 757--796

[16]  Hoover D R, Rice J A, Wu C O,  Yang L P. Nonparametric  smoothing estimates of time-varying coefficient models with longitudinal data.  Biometrika, 1998, 85: 809--822

[17]  Huang J Z, Wu C O, Zhou L. Varying-coefficient model and biasis function approximations for the analysis of repeated measurements. Biometrika, 2002,  89: 809--822

[18]  Lai T L, Robbins H, Wei C Z.  Strong consistency of  least squares estimates in multiple regression II.  J Mulutivariate Anal, 1979, 9: 343--361

[19] Li Q, Huang C J, Li D, Fu T T. Semiparametric smooth coefficient models.  J Business and Econ Statist, 2002, 3: 412--422

[20] Liang H, H\"ardle W, Carroll R J. Estimation in a semiparametric partially linear errors-in-variables model.  Ann Statist, 1999, 27: 1519--1535

[21] Park M G,  Sun J.  Tests in projection pursuit regression.  J Statist Plann Inference, 1998, 75: 65--90

[22] Robinson P. Root-N-consistent semiparametric regression. Econometrica, 1988, 56: 931--954

[23] Severini T A, Staniswalis J G. Quasilikehood estimation in semiparametric models. J Amer Statist Assoc, 1994, 90: 501--511

[24] Shi P, Li G. A note of the convergence rates of  M-estimates for partially linear model. Statistics, 1995, 26: 27--47

[25] Speckman P. Kernel smoothing in partial linear models. J Roy Statist Soc B, 1988, 50: 413--436

[26] Stone C J. Optimal global rates of convergence for nonparametric regression. Ann Statist, 1982, 10: 1040--1053

[27] Stout W F. Almost Sure Convergence. New York: Academic Press, 1974

[28] Xia Y, Li W K. On the estimation and testing of functional-coefficient linear models. Statistica Sinica, 1999, 9: 737--757

[29] Wu C O, Chiang C T, Hoover D R. Asymptotic confidence regions for kernel smoothing of a varying-coefficient model with longitudinal data.
J Amer Statist Assoc, 1998, 93: 1388--1402

[30] Zhang W, Lee S Y, Song X. Local polynomial fitting in semivarying coefficient models. J Multivariate Anal, 2002, 82: 166--188

[31] Zhu L, Fang K. Asymptotics for kernel estimate of sliced inverse regression. Ann Statist, 1996, 24: 1053--1068