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林路
-
教授
- 性别：男
- 在职信息：在职
- 所在单位：中泰证券金融研究院
- 入职时间： 2003-06-01
访问量：
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[21]
林路.
Nonparametric variable selection and its application to additive models.
Annals of the Institute of Statistical Mathematics,
2020.
-
[22]
陆军.
Model-free conditional screening via conditional distance correlation.
Stat Papers ,
61,
225,
2020.
-
[23]
林路.
A generalized semiparametric regression and its efficient estimation.
Scandinavian Journal of Statistics,
2021.
-
[24]
Hu, Qinqin.
Conditional feature screening for mean and variance functions in models with multiple-index structur.
Metrika,
81,
357,
2018.
-
[25]
Lu, Jun.
Feature screening for multi-response varying coefficient models with ultrahigh dimensional predictor.
Computational Statistics & Data Analysis,
128,
242,
2018.
-
[26]
Dong, Ping.
Significance test of clustering under high dimensional setting with applications to cancer data.
Journal of Statistical Computation and Simulation,
88,
3349,
2018.
-
[27]
王芳芳.
Estimation and clustering for partially heterogeneous single index model.
Stat Papers ,
2020.
-
[28]
林路.
Robust estimation of derivatives using locally weighted least absolute deviation regression.
机器学习,
2019.
-
[29]
林路.
Model-free conditional screening via conditional distance correlation.
Statistical Papers,
2020.
-
[30]
姚梅.
左截断相依数据下条件分位数的双核局部线性估计.
数学学报(中文版),
2018.
-
[31]
胡琴琴.
Conditional sure independence screening by conditional marginal empirical likelihood.
Annals of the Institute of Statistical Mathematics,
69,
63,
2017.
-
[32]
林路.
UPPER EXPECTATION PARAMETRIC REGRESSION.
Statistica Sinica,
27,
1265,
2017.
-
[33]
林路.
COMPOSITE ESTIMATION: AN ASYMPTOTICALLY WEIGHTED LEAST SQUARES APPROACH.
Statistica Sinica,
29,
1367,
2019.
-
[34]
刘永欣.
Classification with minimum ambiguity under distribution heterogeneity.
Journal of Statistical Computation and Simulation,
89,
2239,
2019.
-
[35]
柳莉莉.
Subgroup analysis for heterogeneous additive partially linear models and its application to car sale.
Computational Statistics and Data Analysis,
138,
239,
2019.
-
[36]
Lu, Jun.
Estimation for biased partial linear single index models.
Computational Statistics and Data Analysis,
139,
1,
2019.
-
[37]
王文武.
Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression.
JOURNAL OF MACHINE LEARNING RESEARCH,
20,
2019.
-
[38]
林路 , 石玉峰 , 王鑫 and 杨淑振.
k-sample upper expectation linear regression.
Journal of Statistical Planning and Inference,
170,
15,
2015.
-
[39]
林路.
GMM and misspecification correction for misspecified models with diverging number of parameters.
Acta Mathematicae Applicatae Sinica,
2013.
-
[40]
林路 and 王文武.
Optimal variance estimation based on lagged second-order difference in nonparametric regression.
Computational Statistics,
32,
1047,
2017.
