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中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH5 Nonparametric Estimation of Panel Data Models
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH5 Nonparametric Estimation of Panel Data Models
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH5 Nonparametric Estimation of Panel Data Models。
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH4 Semiparametric Single Index Model
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH4 Semiparametric Single Index Model
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH4 Semiparametric Single Index Model。
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH3 Semiparametric Partially Linear Model
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH3 Semiparametric Partially Linear Model
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH3 Semiparametric Partially Linear Model。
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。
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH1 Density Estimation
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH1 Density Estimation
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH1 Density Estimation。
Nonparametric and Semiparametric Regressions Subject to Monotonicity Constraints: Estimation and Forecasting
Nonlinearity Nonparametric regression Semiparametric regression Local mono- tonicity Bagging
2016/1/25
This paper considers nonparametric and semiparametric regression models subject to monotonicity constraint. We use bagging as an alternative approach to Hall and Huang (2001). Asymptotic properties of...
ASYMPTOTIC EQUIVALENCE FOR NONPARAMETRIC REGRESSION
ASYMPTOTIC EQUIVALENCE NONPARAMETRIC REGRESSION
2015/8/25
We consider a nonparametric model En, generated by independent observations Xi, i = 1, ..., n, with densities p(x, θi), i = 1, ..., n, the parameters of which θi = f(i/n) ∈ Θ are driven by the values ...
Maximum likelihood estimation of a nonparametric signal in white noise by optimal control
Nonparametric signal in white noise Maximum likelihood Smoothness classes Extremal problems Optimal control Iterative solution
2015/8/25
We study extremal problems related to nonparametric maximum likelihood estimation (MLE) of a signal in white noise.The aim is to reduce these to standard problems of optimal control which can be solve...
The Asymptotic Minimax Constant for Sup-Norm Loss in Nonparametric Density Estimation
Density estimation exact constant optimal recovery uniform norm risk white noise
2015/8/25
We develop the exact constant of the risk asymptotics in the uniform norm for density estimation. This constant has first been found for nonparametric regression and for signal estimation in Gaussian ...
Asymptotic equivalence for nonparametric generalized linear models
Nonparametric regression Statistical experiment De® - ciency distance Global white noise approximation Exponential family Variance stabilizing transformation
2015/8/25
We establish that a non-Gaussian nonparametric regression model is asymptotically equivalent to a regression model with Gaussian noise. The approximation is in the sense of Le Cam's de®- ciency d...
Di€usion approximation for nonparametric autoregression
Nonparametric experiments de® ciency distance likelihood ratio process stochastic di€ erential equation autoregression di€ usion sampling asymptotic su ciency
2015/8/25
A nonparametric statistical model of small di€usion type is compared with its discretization by a stochastic Euler di€erence scheme. It is shown that the discrete and continuous models are a...
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS
ADAPTIVE SPLINE ESTIMATES NONPARAMETRIC REGRESSION MODELS
2015/8/25
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS.
Feature Extraction for Nonparametric Discriminant Analysis
ClassiŽ cation Density estimation Dimension reduction LDA Projection pursuit Reduced-rankmodel SAVE
2015/8/21
In high-dimensional classification problems, one is often interested in ?? finding a few important discriminant directions in order to reduce the dimensionality.Fisher’s linear discriminant analysis(L...
It is shown that robust stability and robust performance questions for control systems with nonparametric uncertainties can be turned into those with a particularly simple parametric description. It i...
Identification of systems with parametric and nonparametric uncertainty
System parameters the parameter uncertainty the uncertainty information
2015/8/12
A method is presented for parameter set estimation for a system which contains both parametric and nonparametric uncertainty. Prior information is available about both types of uncertainty, but only t...