Fang Han
Fang Han
Associate Professor of Statistics, University of Washington
Verified email at - Homepage
Cited by
Cited by
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
A direct estimation of high dimensional stationary vector autoregressions
F Han, H Lu, H Liu
Journal of Machine Learning Research, 2015
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, 2012
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
Distribution-free consistent independence tests via center-outward ranks and signs
H Shi, M Drton, F Han
Journal of the American Statistical Association 117 (537), 395-410, 2022
Distribution-free tests of independence in high dimensions
F Han, S Chen, H Liu
Biometrika 104 (4), 813-828, 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
Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution
F Han, H Liu
Bernoulli 23 (1), 23, 2017
Transition matrix estimation in high dimensional time series
F Han, H Liu
International conference on machine learning, 172-180, 2013
CODA: High dimensional copula discriminant analysis
F Han, T Zhao, H Liu
The Journal of Machine Learning Research 14 (1), 629-671, 2013
On estimation of isotonic piecewise constant signals
C Gao, F Han, CH Zhang
Shell microelectrode arrays (MEAs) for brain organoids
Q Huang, B Tang, JC Romero, Y Yang, SK Elsayed, G Pahapale, TJ Lee, ...
Science advances 8 (33), eabq5031, 2022
On the power of Chatterjee’s rank correlation
H Shi, M Drton, F Han
Biometrika 109 (2), 317-333, 2022
High-dimensional consistent independence testing with maxima of rank correlations
M Drton, F Han, H Shi
Annals of Statistics 48 (6), 3206-3227, 2020
Robust estimation of transition matrices in high dimensional heavy-tailed vector autoregressive processes
H Qiu, S Xu, F Han, H Liu, B Caffo
International conference on machine learning, 1843-1851, 2015
On universally consistent and fully distribution-free rank tests of vector independence
H Shi, M Hallin, M Drton, F Han
The Annals of Statistics 50 (4), 1933-1959, 2022
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