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Daren Wang
Titel
Zitiert von
Zitiert von
Jahr
Univariate mean change point detection: Penalization, cusum and optimality
D Wang, Y Yu, A Rinaldo
1022020
Optimal change point detection and localization in sparse dynamic networks
D Wang, Y Yu, A Rinaldo
942021
Optimal covariance change point localization in high dimensions
D Wang, Y Yu, A Rinaldo
82*2021
Statistical analysis of persistence intensity functions
YC Chen, D Wang, A Rinaldo, L Wasserman
arXiv preprint arXiv:1510.02502, 2015
512015
Optimal nonparametric multivariate change point detection and localization
OHM Padilla, Y Yu, D Wang, A Rinaldo
IEEE Transactions on Information Theory 68 (3), 1922-1944, 2021
432021
Optimal nonparametric change point analysis
OH Madrid Padilla, Y Yu, D Wang, A Rinaldo
41*2021
Statistically and computationally efficient change point localization in regression settings
D Wang, Z Zhao, KZ Lin, R Willett
Journal of Machine Learning Research 22 (248), 1-46, 2021
392021
Dbscan: Optimal rates for density-based cluster estimation
D Wang, X Lu, A Rinaldo
Journal of machine learning research 20 (170), 1-50, 2019
34*2019
Localizing changes in high-dimensional regression models
A Rinaldo, D Wang, Q Wen, R Willett, Y Yu
International Conference on Artificial Intelligence and Statistics, 2089-2097, 2021
332021
Localizing changes in high-dimensional vector autoregressive processes
D Wang, Y Yu, A Rinaldo, R Willett
arXiv preprint arXiv:1909.06359, 2019
302019
A note on online change point detection
Y Yu, OH Madrid Padilla, D Wang, A Rinaldo
Sequential Analysis 42 (4), 438-471, 2023
212023
Change point inference in high-dimensional regression models under temporal dependence
H Xu, D Wang, Z Zhao, Y Yu
arXiv preprint arXiv:2207.12453, 2022
212022
Optimal network online change point localisation
Y Yu, OHM Padilla, D Wang, A Rinaldo
arXiv preprint arXiv:2101.05477, 2021
152021
Optimal change-point testing for high-dimensional linear models with temporal dependence
D Wang, Z Zhao
arXiv preprint arXiv:2205.03880, 2022
122022
Nonparametric clustering of functional data using pseudo-densities
M Ciollaro, CR Genovese, D Wang
112016
Functional linear regression with mixed predictors
D Wang, Z Zhao, Y Yu, R Willett
Journal of Machine Learning Research 23 (266), 1-94, 2022
102022
Change-point detection for sparse and dense functional data in general dimensions
CM Madrid Padilla, D Wang, Z Zhao, Y Yu
Advances in Neural Information Processing Systems 35, 37121-37133, 2022
82022
changepoints: A Collection of Change-Point Detection Methods
H Xu, O Padilla, D Wang, M Li
R package version 1 (0), 2022
72022
Functional autoregressive processes in reproducing kernel hilbert spaces
D Wang, Z Zhao, R Willett, CY Yau
arXiv preprint arXiv:2011.13993, 2020
62020
Detecting abrupt changes in high-dimensional self-exciting Poisson processes
D Wang, Y Yu, R Willett
arXiv preprint arXiv:2006.03572, 2020
62020
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