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Jiashun Jin
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Year
Higher criticism for detecting sparse heterogeneous mixtures
D Donoho, J Jin
8772004
Fast community detection by SCORE
J Jin
3782015
Innovated higher criticism for detecting sparse signals in correlated noise
P Hall, J Jin
2672010
The non-gaussian cold spot in the 3 year Wilkinson microwave anisotropy probe data
M Cruz, L Cayon, E Martinez-Gonzalez, P Vielva, J Jin
The Astrophysical Journal 655 (1), 11, 2007
2552007
Higher criticism thresholding: Optimal feature selection when useful features are rare and weak
D Donoho, J Jin
Proceedings of the National Academy of Sciences 105 (39), 14790-14795, 2008
2492008
Estimating the null and the proportion of nonnull effects in large-scale multiple comparisons
J Jin, TT Cai
Journal of the American Statistical Association 102 (478), 495-506, 2007
2282007
Counting of six pRNAs of phi29 DNA‐packaging motor with customized single‐molecule dual‐view system
D Shu, H Zhang, J Jin, P Guo
The EMBO journal 26 (2), 527-537, 2007
2082007
When do data mining results violate privacy?
M Kantarcioǧlu, J Jin, C Clifton
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
1992004
Coauthorship and citation networks for statisticians
P Ji, J Jin
1802016
Higher Criticism for Large-Scale Inference: especially for Rare and Weak effects
D Donoho, J Jin
arXiv preprint arxiv:1410.4743, 2014
1482014
Optimal detection of heterogeneous and heteroscedastic mixtures
T Tony Cai, X Jessie Jeng, J Jin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2011
1462011
Higher Criticism statistic: detecting and identifying non-Gaussianity in the WMAP first-year data
L Cayon, J Jin, A Treaster
Monthly Notices of the Royal Astronomical Society 362 (3), 826-832, 2005
1412005
Estimation and confidence sets for sparse normal mixtures
TT Cai, J Jin, MG Low
1272007
A comparison of the lasso and marginal regression
CR Genovese, J Jin, L Wasserman, Z Yao
Journal of Machine Learning Research 13 (Jun), 2107-2143, 2012
1242012
UPS delivers optimal phase diagram in high-dimensional variable selection.
P Ji, J Jin
Annals of Statistics 40 (1), 73-103, 2012
1132012
Influential Features PCA for high dimensional clustering
J Jin, W Wang
The Annals of Statistics 44 (6), 2323-2359, 2016
932016
Influential Features PCA for high dimensional clustering
J Jin, W Wang
The Annals of Statistics 44 (6), 2323-2359, 2016
932016
Estimating network memberships by simplex vertex hunting
J Jin, ZT Ke, S Luo
arXiv preprint arXiv:1708.07852 12, 2017
902017
Feature selection by higher criticism thresholding achieves the optimal phase diagram
D Donoho, J Jin
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2009
902009
Proportion of non-zero normal means: universal oracle equivalences and uniformly consistent estimators
J Jin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008
832008
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Articles 1–20