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Yajun Mei
Yajun Mei
New York University and Georgia Institute of Technology
Dirección de correo verificada de nyu.edu - Página principal
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Año
Efficient scalable schemes for monitoring a large number of data streams
Y Mei
Biometrika 97 (2), 419-433, 2010
2782010
Information bounds and quickest change detection in decentralized decision systems
Y Mei
IEEE Transactions on Information theory 51 (7), 2669-2681, 2005
1142005
An adaptive sampling strategy for online high-dimensional process monitoring
K Liu, Y Mei, J Shi
Technometrics 57 (3), 305-319, 2015
1092015
Sequential change-point detection when unknown parameters are present in the pre-change distribution
Y Mei
1092006
Asymptotic optimality theory for decentralized sequential hypothesis testing in sensor networks
Y Mei
IEEE Transactions on Information Theory 54 (5), 2072-2089, 2008
1012008
Quickest detection in censoring sensor networks
Y Mei
2011 IEEE International Symposium on Information Theory Proceedings, 2148-2152, 2011
862011
Early detection of a change in Poisson rate after accounting for population size effects
Y Mei, SW Han, KL Tsui
Statistica Sinica, 597-624, 2011
732011
Is average run length to false alarm always an informative criterion?
Y Mei
Sequential Analysis 27 (4), 354-376, 2008
572008
Large-scale multi-stream quickest change detection via shrinkage post-change estimation
Y Wang, Y Mei
IEEE Transactions on Information Theory 61 (12), 6926-6938, 2015
49*2015
Aneurysmal subarachnoid hemorrhage: trends, outcomes, and predictions from a 15-year perspective of a single neurocritical care unit
OB Samuels, O Sadan, C Feng, K Martin, K Medani, Y Mei, DL Barrow
Neurosurgery 88 (3), 574-583, 2021
482021
Differentially private change-point detection
R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang
Advances in neural information processing systems 31, 2018
442018
Quickest change detection and Kullback-Leibler divergence for two-state hidden Markov models
CD Fuh, Y Mei
IEEE Transactions on Signal Processing 63 (18), 4866-4878, 2015
442015
Nonparametric monitoring of multivariate data via KNN learning
W Li, C Zhang, F Tsung, Y Mei
International Journal of Production Research 59 (20), 6311-6326, 2021
432021
Scalable sum-shrinkage schemes for distributed monitoring large-scale data streams
K Liu, R Zhang, Y Mei
Statistica Sinica 29 (1), 1-22, 2019
362019
Bandit change-point detection for real-time monitoring high-dimensional data under sampling control
W Zhang, Y Mei
Technometrics 65 (1), 33-43, 2023
332023
Predicting the rheology of limestone calcined clay cements (LC3): Linking composition and hydration kinetics to yield stress through Machine Learning
O Canbek, Q Xu, Y Mei, NR Washburn, KE Kurtis
Cement and Concrete Research 160, 106925, 2022
322022
Does intrathecal nicardipine for cerebral vasospasm following subarachnoid hemorrhage correlate with reduced delayed cerebral ischemia? A retrospective propensity score–based …
O Sadan, H Waddel, R Moore, C Feng, Y Mei, D Pearce, J Kraft, ...
Journal of neurosurgery 136 (1), 115-124, 2021
312021
Asymptotically optimal methods for sequential change-point detection
Y Mei
California Institute of Technology, 2003
302003
A comparison of methods for determining HIV viral set point
Y Mei, L Wang, SE Holte
Statistics in medicine 27 (1), 121-139, 2008
262008
Thresholded multivariate principal component analysis for phase I multichannel profile monitoring
Y Wang, Y Mei, K Paynabar
Technometrics 60 (3), 360-372, 2018
252018
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