Xinwei Deng
Xinwei Deng
Professor of Statistics, Virginia Tech
Verified email at - Homepage
Cited by
Cited by
Sparse linear discriminant analysis by thresholding for high dimensional data
J Shao, Y Wang, X Deng, S Wang
The Annals of statistics 39 (2), 1241-1265, 2011
Estimation in high-dimensional linear models with deterministic design matrices
J Shao, X Deng
The Annals of Statistics 40 (2), 812-831, 2012
Active learning through sequential design with applications to detection of money laundering
X Deng, VR Joseph, A Sudjianto, CFJ Wu
Journal of the American Statistical Association 104 (487), 969-981, 2009
Predictive computational modeling of the mucosal immune responses during Helicobacter pylori infection
A Carbo, J Bassaganya-Riera, M Pedragosa, M Viladomiu, M Marathe, ...
PloS one 8 (9), e73365, 2013
Additive Gaussian process for computer models with qualitative and quantitative factors
X Deng, CD Lin, KW Liu, RK Rowe
Technometrics 59 (3), 283-292, 2017
Functional quantitative and qualitative models for quality modeling in a fused deposition modeling process
H Sun, PK Rao, ZJ Kong, X Deng, R Jin
IEEE Transactions on Automation Science and Engineering 15 (1), 393-403, 2017
Design for computer experiments with qualitative and quantitative factors
X Deng, Y Hung, CD Lin
Statistica Sinica, 1567-1581, 2015
QQ models: Joint modeling for quantitative and qualitative quality responses in manufacturing systems
X Deng, R Jin
Technometrics 57 (3), 320-331, 2015
A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition
ED Nino-Ruiz, A Sandu, X Deng
Journal of Computational Science 36, 100654, 2019
Penalized covariance matrix estimation using a matrix-logarithm transformation
X Deng, KW Tsui
Journal of Computational and Graphical Statistics 22 (2), 494-512, 2013
Statistical approach to quantifying the elastic deformation of nanomaterials
X Deng, VR Joseph, W Mai, ZL Wang, CFJ Wu
Proceedings of the National Academy of Sciences 106 (29), 11845-11850, 2009
An ensemble Kalman filter implementation based on modified Cholesky decomposition for inverse covariance matrix estimation
ED Nino-Ruiz, A Sandu, X Deng
SIAM Journal on Scientific Computing 40 (2), A867-A886, 2018
Modeling maximum daily temperature using a varying coefficient regression model
H Li, X Deng, DY Kim, EP Smith
Water Resources Research 50 (4), 3073-3087, 2014
Scalable algorithms for the sparse ridge regression
W Xie, X Deng
SIAM Journal on Optimization 30 (4), 3359-3386, 2020
Large Gaussian covariance matrix estimation with Markov structures
X Deng, M Yuan
Journal of Computational and Graphical Statistics 18 (3), 640-657, 2009
A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition
ED Nino-Ruiz, A Sandu, X Deng
Proceedings of the 6th Workshop on Latest Advances in Scalable Algorithms…, 2015
Driving safety assessment for ride-hailing drivers
H Mao, X Deng, H Jiang, L Shi, H Li, L Tuo, D Shi, F Guo
Accident Analysis & Prevention 149, 105574, 2021
Manufacturing quality prediction using smooth spatial variable selection estimator with applications in aerosol jet printed electronics manufacturing
Y Li, H Sun, X Deng, C Zhang, HP Wang, R Jin
IISE Transactions 52 (3), 321-333, 2020
Logistic regression for crystal growth process modeling through hierarchical nonnegative garrote-based variable selection
H Sun, X Deng, K Wang, R Jin
Iie Transactions 48 (8), 787-796, 2016
Cholesky-based model averaging for covariance matrix estimation
H Zheng, KW Tsui, X Kang, X Deng
Statistical Theory and Related Fields 1 (1), 48-58, 2017
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