| High-dimensional vector autoregressive time series modeling via tensor decomposition D Wang, Y Zheng, H Lian, G Li Journal of the American Statistical Association 117 (539), 1338-1356, 2022 | 74 | 2022 |
| High-dimensional low-rank tensor autoregressive time series modeling D Wang, Y Zheng, G Li Journal of Econometrics 238 (1), 105544, 2024 | 35 | 2024 |
| Dinucleotide evolutionary dynamics in influenza A virus H Gu, RLY Fan, D Wang, LLM Poon Virus evolution 5 (2), vez038, 2019 | 30 | 2019 |
| Rate-optimal robust estimation of high-dimensional vector autoregressive models D Wang, RS Tsay Annals of Statistics, 2023 | 22* | 2023 |
| High-dimensional vector autoregression with common response and predictor factors D Wang, X Zhang, G Li, R Tsay arXiv preprint arXiv:2203.15170, 2022 | 4 | 2022 |
| Nonparametric quantile regression for homogeneity pursuit in panel data models X Zhang, D Wang, H Lian, G Li Journal of Business & Economic Statistics 41 (4), 1238-1250, 2023 | 3 | 2023 |
| Compact autoregressive network D Wang, F Huang, J Zhao, G Li, G Tian Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6145-6152, 2020 | 3 | 2020 |
| Unit root testing on buffered autoregressive model D Wang, WK Li Statistica Sinica 30 (2), 977-1003, 2020 | | 2020 |
