Personal website: https://sites.google.com/view/wenlindai

Technical Reports:

1. Wenlin Dai, Stavros Athanasiadis and Tomas Mrkvicka “A new functional clustering method with combined dissimilarity sources and graphical interpretation”.

2. Wenlin Dai, Zhuo Qu, Carolina Euan, Ying Sun, and Marc G. Genton “Exploratory Analysis for Functional Data”.

3. Maoyu Zhang# and Wenlin Dai, "Gradient estimation of multivariate nonparametric regression".

4. Wenlin Dai and Tiejun Tong, "Optimal-k difference sequence for variance estimation in nonparametric regression".

5. Wenlin Dai, Yan Song# and Dianpeng Wang "A model-free subsampling method based on minimum energy criterion".

6. Yan Song# and Wenlin Dai "Outperforming with subdata: Deterministic subsampling".

Selected Publications:

1. Zhuo Qu#, Wenlin Dai*, and Marc G. Genton (2021) “Robust Functional Multivariate Analysis of Variance with Environmental Applications”. Environmetrics, e2641.

2. Zonghui Yao#, Wenlin Dai*, Marc G. Genton(2020) “Trajectory Functional Boxplots”. Stat, e289.

3. Wenlin Dai, Tomas Mrkvicka, Ying Sun and Marc G. Genton(2020) “Functional outlier detection and taxonomy by sequential transformations”. Computational Statistics & Data Analysis, 106960.

4. Wenlin Dai and Marc G. Genton (2019), "Directional outlyingness for multivariate functional data". Computational Statistics & Data Analysis, 131:50-65.

5. Wenlin Dai and Marc G. Genton (2018), "Functional boxplot for multivariate curves". Stat, 7:e190.

6. Wenlin Dai and Marc G. Genton (2018), "Multivariate functional data visualization and outlier detection". Journal of Computational and Graphical Statistics, 27: 923-934.

7. Wenlin Dai and Marc G. Genton (2018), "An outlyingness matrix for multivariate functional data classification". Statistica Sinica, 28: 2435-2454.

8. Wenlin Dai, Tiejun Tong and Lixing Zhu (2017), "On the choice of difference sequence in a unified framework for variance estimation in nonparametric regression". Statistical Science, 32: 455-468.

9. Wenlin Dai, Yuejin Zhou and Tiejun Tong (2017), "Testing discontinuities in nonparametric regression". Journal of Applied Statistics, 45: 450–473.

10. Wenlin Dai, Tiejun Tong and Marc G. Genton (2016), "Optimal estimation of derivatives in nonparametric regression". Journal of Machine Learning Research, 17: 1–25.

11. Wenlin Dai, Yanyuan Ma, Tiejun Tong and Lixing Zhu (2015), "Difference-based variance estimation in nonparametric regression with repeated measurement data". Journal of Statistical Planning and Inference, 163: 1–20.

12. Wenlin Dai and Tiejun Tong (2014), "Variance estimation in nonparametric regression with jump discontinuities". Journal of Applied Statistics, 41, 530–545.