Woncheol Jang
Woncheol Jang
Department of Statistics, Seoul National University
Email verificata su snu.ac.kr
Titolo
Citata da
Citata da
Anno
Development and validation of the Good Outcome Following Attempted Resuscitation (GO-FAR) score to predict neurologically intact survival after in-hospital cardiopulmonary …
MH Ebell, W Jang, Y Shen, RG Geocadin
JAMA internal medicine 173 (20), 1872-1878, 2013
842013
Spatially discordant voltage alternans cause wavebreaks in ventricular fibrillation
BR Choi, W Jang, G Salama
Heart rhythm 4 (8), 1057-1068, 2007
502007
Assessing the performance of a vulnerability index during oppressive heat across Georgia, United States
G Maier, A Grundstein, W Jang, C Li, LP Naeher, M Shepherd
Weather, climate, and society 6 (2), 253-263, 2014
442014
How accurately can we control the FDR in analyzing microarray data?
SH Jung, W Jang
Bioinformatics 22 (14), 1730-1736, 2006
312006
A numerical study of PQL estimation biases in generalized linear mixed models under heterogeneity of random effects
W Jang, J Lim
Communications in Statistics-Simulation and Computation 38 (4), 692-702, 2009
302009
Nonparametric density estimation and clustering in astronomical sky surveys
W Jang
Computational statistics & data analysis 50 (3), 760-774, 2006
272006
Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging
DA Brown, NA Lazar, GS Datta, W Jang, JE McDowell
NeuroImage 84, 97-112, 2014
252014
Cluster analysis of massive datasets in astronomy
W Jang, M Hendry
Statistics and Computing 17 (3), 253-262, 2007
232007
Asymptotic properties of the maximum likelihood estimator for the proportional hazards model with doubly censored data
Y Kim, B Kim, W Jang
Journal of Multivariate Analysis 101 (6), 1339-1351, 2010
212010
The influence of depression and personality on social networking
J Wee, S Jang, J Lee, W Jang
Computers in Human Behavior 74, 45-52, 2017
182017
PQL estimation biases in generalized linear mixed models
W Jang, J Lim
Institute of Statistics and Decision Sciences, Duke University, Durham, NC …, 2006
182006
An EM algorithm for the proportional hazards model with doubly censored data
Y Kim, J Kim, W Jang
Computational Statistics & Data Analysis 57 (1), 41-51, 2013
152013
Estimating a cosmological mass bias parameter with bootstrap bandwidth selection
JM Loh, W Jang
Journal of the Royal Statistical Society: Series C (Applied Statistics) 59 …, 2010
132010
Density estimation for grouped data with application to line transect sampling
W Jang, JM Loh
Annals of Applied Statistics 4 (2), 893-915, 2010
122010
Permutation test for incomplete paired data with application to cDNA microarray data
D Yu, J Lim, F Liang, K Kim, BS Kim, W Jang
Computational Statistics & Data Analysis 56 (3), 510-521, 2012
102012
Analysis of long period variable stars with nonparametric tests for trend detection
C Park, J Ahn, M Hendry, W Jang
Journal of the American Statistical Association 106 (495), 832-845, 2011
102011
Patent citation network analysis
M Lee, Y Kim, W Jang
The Korean Journal of Applied Statistics 29 (4), 613-625, 2016
92016
Detection of pancreatic cancer biomarkers using mass spectrometry
K Kim, S Ahn, J Lim, BC Yoo, JH Hwang, W Jang
Cancer informatics 13, CIN. S16341, 2014
92014
Some properties of generalized fused lasso and its applications to high dimensional data
W Jang, J Lim, NA Lazar, JM Loh, D Yu
Journal of the Korean Statistical Society 44, 352-365, 2015
82015
Regression shrinkage and grouping of highly correlated predictors with HORSES
W Jang, J Lim, NA Lazar, JM Loh, D Yu
arXiv preprint arXiv:1302.0256, 2013
82013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20