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Lucy Xia
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Jahr
A projection based conditional dependence measure with applications to high-dimensional undirected graphical models
J Fan, Y Feng, L Xia
Journal of Econometrics, 2020
47*2020
QUADRO: A supervised dimension reduction method via Rayleigh quotient optimization
J Fan, ZT Ke, H Liu, L Xia
Annals of statistics 43 (4), 1498, 2015
432015
Aggregation of affine estimators
D Dai, P Rigollet, L Xia, T Zhang
Electronic Journal of Statistics 8 (1), 302-327, 2014
392014
Unifying approach to selective inference with applications to cross-validation
J Markovic, L Xia, J Taylor
arXiv preprint arXiv:1703.06559, 2017
26*2017
Neyman-Pearson classification: parametrics and sample size requirement
X Tong, L Xia, J Wang, Y Feng
Journal of Machine Learning Research 21 (12), 1-48, 2020
172020
Inferactive data analysis
N Bi, J Markovic, L Xia, J Taylor
Scandinavian Journal of Statistics, 2019
172019
Statistical method scDEED for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters
L Xia, C Lee, JJ Li
Nature Communications, 2024
13*2024
Intentional control of Type I error over unconscious data distortion: a Neyman-Pearson approach to text classification
L Xia, R Zhao, Y Wu, X Tong
Journal of the American Statistical Association, 2020
92020
Testing specification of distribution in stochastic frontier analysis
MY Cheng, S Wang, L Xia, X Zhang
Journal of Econometrics 239 (2), 105280, 2024
52024
Covariate Selection for Optimizing Balance with Covariate-Adjusted Response-Adaptive Randomization
Z Guo, Y Liu, L Xia
arXiv preprint arXiv:2406.08968, 2024
12024
Non-splitting neyman-pearson classifiers
J Wang, L Xia, Z Bao, X Tong
Journal of Machine Learning Research 25 (292), 1-61, 2024
12024
SUPPLEMENTARY MATERIAL FOR “QUADRO: A SUPERVISED DIMENSION REDUCTION METHOD VIA RAYLEIGH QUOTIENT OPTIMIZATION”
J Fan, ZT Ke, H Liu, L Xia, A Lemma
12014
Testing heterogeneous treatment effect with quantile regression under covariate-adaptive randomization
Y Liu, L Xia, F Hu
Journal of Econometrics, 105808, 2024
2024
Package ‘pfa’
J Fan, T Ke, S Li, L Xia, MT Ke, M Suggests
2016
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