Ery Arias-Castro
University of California, San Diego
H-index: 33
North America-United States
Top articles of Ery Arias-Castro
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Anomaly detection for a large number of streams: A permutation-based higher criticism approach | Journal of the American Statistical Association | Ivo V Stoepker Rui M Castro Ery Arias-Castro Edwin van den Heuvel | 2024/1/2 |
Moving up the cluster tree with the gradient flow | SIAM Journal on Mathematics of Data Science | Ery Arias-Castro Wanli Qiao | 2023/6/30 |
A unifying view of modal clustering | Information and Inference: A Journal of the IMA | Ery Arias-Castro Wanli Qiao | 2023/6 |
Sparse Anomaly Detection Across Referentials: A Rank-Based Higher Criticism Approach | arXiv preprint arXiv:2312.04924 | Ivo V Stoepker Rui M Castro Ery Arias-Castro | 2023/12/8 |
Template matching with ranks | Bernoulli | Ery Arias-Castro Lin Zheng | 2023/2 |
Minimax estimation of distances on a surface and minimax manifold learning in the isometric-to-convex setting | Information and Inference: A Journal of the IMA | Ery Arias-Castro Phong Alain Chau | 2023/12 |
Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise | arXiv preprint arXiv:2310.10900 | Ery Arias-Castro Phong Alain Chau | 2023/10/17 |
Theoretical Foundations of Ordinal Multidimensional Scaling, Including Internal and External Unfolding | arXiv preprint arXiv:2310.00211 | Ery Arias-Castro Clément Berenfeld Daniel Kane | 2023/9/30 |
Fitting a Multi-modal Density by Dynamic Programming | arXiv preprint arXiv:2207.11121 | Ery Arias-Castro He Jiang | 2022/7/15 |
Supervising embedding algorithms using the stress | arXiv preprint arXiv:2207.07218 | Ery Arias-Castro Phong Alain Chau | 2022/7/14 |
Clustering by hill-climbing: Consistency results | arXiv preprint arXiv:2202.09023 | Ery Arias-Castro Wanli Qiao | 2022/2/18 |
Estimation of the global mode of a density: Minimaxity, adaptation, and computational complexity | Electronic Journal of Statistics | Ery Arias-Castro Wanli Qiao Lin Zheng | 2022 |
Embedding Functional Data: Multidimensional Scaling and Manifold Learning | arXiv preprint arXiv:2208.14540 | Ery Arias-Castro Wanli Qiao | 2022/8/30 |
Principles of statistical analysis: learning from randomized experiments | Ery Arias-Castro | 2022/8/25 | |
Some random paths with angle constraints | Clément Berenfeld Ery Arias-Castro | 2021/2 | |
Template matching and change point detection by M-estimation | IEEE Transactions on Information Theory | Ery Arias-Castro Lin Zheng | 2021/9/14 |
A scan procedure for multiple testing: Beyond threshold-type procedures | Journal of Statistical Planning and Inference | Ery Arias-Castro Shiyun Chen Andrew Ying | 2020/5/4 |
Extending the Patra-Sen Approach to Estimating the Background Component in a Two-Component Mixture Model | arXiv preprint arXiv:2106.13925 | Ery Arias-Castro He Jiang | 2021/6/26 |
From graph centrality to data depth | arXiv preprint arXiv:2105.03122 | Eddie Aamari Ery Arias-Castro Clément Berenfeld | 2021/5/7 |
On the estimation of latent distances using graph distances | Ery Arias-Castro Antoine Channarond Bruno Pelletier Nicolas Verzelen | 2021/1/1 |
