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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Dynamic copula-based nonparametric estimation of rank-tracking probabilities with longitudinal data
动态copula 纵向数据秩 跟踪概率 非参数估计
2023/5/10
The rank-tracking probability (RTP) is a useful statistical index for measuring the ``tracking ability'' of longitudinal disease risk factors in biomedical studies. A flexible nonparametric method for...
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。
The simple difference formula:an approach to teaching nonparametric correlation
simple difference formula nonparametric correlation
2016/3/16
Although teaching effect sizes is important, many statistics texts omit the topic for the Mann-Whitney U test and the Wilcoxon signed-rank test. To address this omission, this paper introduces the sim...
Efficient Estimation of Nonparametric Simultaneous Equations Models
Local Polynomial Regression Nonparametric Additive Models Structural Models Instrumental Variables
2016/1/26
This paper defines a new procedure to efficiently estimate nonparametric simultaneous e-quations models that have been explored by Newey et al (1999) and Su and Ullah (2008).The proposed estimation pr...
Testing Additive Separability of Error Term in Nonparametric Structural Models
Additive Separability Hypotheses Testing Nonparametric Structural Equation Non- separable Models
2016/1/25
This paper considers testing additive error structure in nonparametric structural models, against the alternative hypothesis that the random error term enters the nonparametric model non-additively.We...
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...
Efficient Estimation of Nonparametric Simultaneous Equations Models
Local Polynomial Regression Nonparametric Additive Models Structural Models Instrumental Variables
2016/1/20
This paper defines a new procedure to efficiently estimate nonparametric simultaneous e-quations models that have been explored by Newey et al (1999) and Su and Ullah (2008).The proposed estimation pr...
Testing Additive Separability of Error Term in Nonparametric Structural Models
Additive Separability Hypotheses Testing Nonparametric Structural Equation
2016/1/20
This paper considers testing additive error structure in nonparametric structural models, against the alternative hypothesis that the random error term enters the nonparametric model non-additively.We...
Nonparametric and Semiparametric Regressions Subject to Monotonicity Constraints: Estimation and Forecasting
Nonlinearity Nonparametric regression Semiparametric regression Local mono- tonicity Bagging
2016/1/20
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 ...
Nonparametric Regression with Discrete Covariate and Missing Values
Nonparametric Regression Discrete kernel smoothing Imputation Missing Values Variance Reduction
2016/1/19
We consider nonparametric regression with a mixture of continuous and discrete ex-planatory variables where realizations of the response variable may be missing. An impu-tation based nonparametric reg...
Detection of the effects of management and physical factors on forest soil carbon stock variability in semiarid conditions using parametric and nonparametric methods
soil organic carbon CART modelling, neural networks
2015/11/26
Forest soils in western parts of Iran are being degraded by inappropriate management. The soil organic carbon (SOC) stock was dominantly affected by this type of degradation. On the other hand, SOC is...