Fang Han
Fang Han
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Challenges of big data analysis
J Fan, F Han, H Liu
National science review 1 (2), 293-314, 2014
High-dimensional semiparametric Gaussian copula graphical models
H Liu, F Han, M Yuan, J Lafferty, L Wasserman
The Annals of Statistics 40 (4), 2293-2326, 2012
A data-adaptive sum test for disease association with multiple common or rare variants
F Han, W Pan
Human heredity 70 (1), 42-54, 2010
Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging
A Eloyan, J Muschelli, MB Nebel, H Liu, F Han, T Zhao, AD Barber, S Joel, ...
Frontiers in systems neuroscience 6, 61, 2012
Joint estimation of multiple graphical models from high dimensional time series
H Qiu, F Han, H Liu, B Caffo
Journal of the Royal Statistical Society. Series B, Statistical Methodology …, 2016
Transelliptical graphical models
H Liu, F Han, C Zhang
Advances in neural information processing systems 25, 800-808, 2012
Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
JB Stephansen, AN Olesen, M Olsen, A Ambati, EB Leary, HE Moore, ...
Nature communications 9 (1), 1-15, 2018
A direct estimation of high dimensional stationary vector autoregressions
F Han, H Lu, H Liu
Journal of Machine Learning Research, 2015
Genome-wide profiling of multiple histone methylations in olfactory cells: further implications for cellular susceptibility to oxidative stress in schizophrenia
S Kano, C Colantuoni, F Han, Z Zhou, Q Yuan, A Wilson, Y Takayanagi, ...
Molecular psychiatry 18 (7), 740-742, 2013
Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution
F Han, H Liu
Bernoulli 23 (1), 23, 2017
Scale-invariant sparse PCA on high-dimensional meta-elliptical data
F Han, H Liu
Journal of the American Statistical Association 109 (505), 275-287, 2014
CODA: High dimensional copula discriminant analysis
F Han, T Zhao, H Liu
The Journal of Machine Learning Research 14 (1), 629-671, 2013
Transition matrix estimation in high dimensional time series
F Han, H Liu
International Conference on Machine Learning, 172-180, 2013
Distribution-free tests of independence in high dimensions
F Han, S Chen, H Liu
Biometrika 104 (4), 813-828, 2017
The nonparanormal skeptic
H Liu, F Han, M Yuan, J Lafferty, L Wasserman
arXiv preprint arXiv:1206.6488, 2012
On estimation of isotonic piecewise constant signals
C Gao, F Han, CH Zhang
Annals of Statistics 48 (2), 629-654, 2020
Semiparametric principal component analysis
F Han, H Liu
Advances in Neural Information Processing Systems, 171-179, 2012
ECA: High dimensional elliptical component analysis in non-Gaussian distributions
F Han, H Liu
Journal of the American Statistical Association (in press), 2017
Test selection with application to detecting disease association with multiple SNPs
W Pan, F Han, X Shen
Human heredity 69 (2), 120-130, 2010
Sparse principal component analysis for high dimensional multivariate time series
Z Wang, F Han, H Liu
Artificial Intelligence and Statistics, 48-56, 2013
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Artículos 1–20