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中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH2 Nonparametric Regression Estimation
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH2 Nonparametric Regression Estimation
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH2 Nonparametric Regression Estimation。
Nonparametric Regression Estimation with Incomplete Data: Minimax Global Convergence Rates and Adaptivity
Adaptivity Besov spaces inhomogeneous data minimax estimation
2011/7/6
We consider the nonparametric regression estimation problem of recovering an unknown response function $f$ on the basis of incomplete data when the design points follow a known density $g$ with a fini...
Semiparametric Quantile Regression Estimation in Dynamic Models with Partially Varying Coefficients
Efficiency nonlinear time series partially linear partially varying coefficients quantile regression semiparametric
2011/4/1
We study quantile regression estimation for dynamic models with partially varying coefficients so that the values of some coefficients may be functions of informative covariates. Estimation of both pa...
Pac-bayesian bounds for sparse regression estimation with exponential weights
Sparsity Oracle Inequality High-dimensional Regression
2010/12/6
We consider the sparse regression model where the number of parameters p is larger than the sample size n. The difficulty when considering high-dimensional problems is to propose estimators achieving ...
Regression Estimation and Prediction in Continuous Time
Continuous time nonparametric prediction nonparametric regression
2009/3/5
This paper studies the nonparametric regression estimation and the prediction problem for continuous-time observations. The almost sure convergence of a kernel regression estimator and the associated ...
Nonparametric denoising Signals of Unknown Local Structure，II：Nonparametric Regression Estimation
Nonparametric denoising adaptive filtering minimax estimation nonparametric regression
2010/3/18
We consider the problem of recovering of continuous multi-dimensional functions f
from the noisy observations over the regular grid m−1Zd, m ∈ N∗. Our focus is at
the adaptive estimation...
Spatial Nonparametric Regression Estimation: Non-isotropic Case
bandwidth kernel estimator mixing non-isotropic
2007/12/11
Data collected on the surface of the earth often has spatial interaction. In this paper, a non-isotropic mixing spatial data process is introduced, and under such a spatial structure a nonparametric k...