Research Areas

1. Wavelet Analysis;

2. Nonparametric Estimate;

3. Big Data Analysis.

Publications

1. Wang, Jinru; Liu, Wei. Wavelet estimations for heteroscedastic super smooth errors. Communications in Statistics: Theory and Methods. 2019, 48 (10), 2356-2371.

2. Guo, Huijun; Wang, Jinru.Tian, Xinyan. The mean consistency of wavelet estimators for convolutions of the density functions. Journal of Computational and Applied Mathematics, 2018, 343, 1-11.

3. Zeng, Xiaochen; Wang, Jinru. Wavelet density deconvolution estimations with heteroscedastic measurement errors, Statistics and Probability Letters, 2018, 134, 79-85.

4. Hu, Lin; Zeng, Xiaochen; Wang, Jinru. Wavelet optimal estimations for a two-dimensional continuous-discrete density function over Lp risk. Journal of Inequalities and Applications, 2018, Paper No. 279, 20 pp.

5. Wang, Jinru; Zhang,Qingqing; Kou, Junke. Wavelet estimators for the derivatives of the density function from data contaminated with heteroscedastic measurement errors, Communications in Statistics- Theory and Methods. 2017, 46 (15), 7337-7354.

6. Geng, Zijuan; Wang, Jinru. The mean consistency of wavelet density estimators, Journal of Inequalities and Applications, 2015, 111,1-14.

7. Wang, Jinru; Geng, Zijuan; Jin, Fengfeng. Optimal wavelet estimation of density derivatives for size-biased data, Abstract and Applied Analysis, 2014, Vol. 2014（Article ID 512643), 1-13.

8. Wang, Jinru; Wang, Meng; Zhou, Yuan. Nonlinear wavelet density estimation for bised data in Sobolev spaces, Journal of Inequalities and Applications, 2013, 308,1-15.

9. Li, Rui; Wang, Jinru. Nonlinear wavelet methods for high-dimensional backward heat equation，Acta Mathematic Sinica, English Series, 2013, 29(5), 913-922.