Results 41 to 50 of about 162 (71)
The Smooth-Lasso and other $\ell_1+\ell_2$-penalized methods
We consider a linear regression problem in a high dimensional setting where the number of covariates $p$ can be much larger than the sample size $n$. In such a situation, one often assumes sparsity of the regression vector, \textit i.e., the regression ...
Hebiri, Mohamed, Van De Geer, Sara A.
core +1 more source
Bivariate copulas, norms and non-exchangeability
Papini Pier Luigi
doaj +1 more source
Statistical testing of covariate effects in conditional copula [PDF]
model
Elif F. Acar, Fang Yao, Radu V. Craiu
core
A SIMPLE, CONSISTENT ESTIMATOR OF SNP HERITABILITY FROM GENOME-WIDE ASSOCIATION STUDIES. [PDF]
Schwartzman A +3 more
europepmc +1 more source
Sparse canonical correlation analysis between an alcohol biomarker and self-reported alcohol consumption. [PDF]
Helian S, Brumback BA, Cook RL.
europepmc +1 more source
Time-varying copula models for longitudinal data. [PDF]
Kürüm E, Hughes J, Li R, Shiffman S.
europepmc +1 more source
The gene cortex controls mimicry and crypsis in butterflies and moths. [PDF]
Nadeau NJ +18 more
europepmc +1 more source
BOOTSTRAP INFERENCE FOR NETWORK CONSTRUCTION WITH AN APPLICATION TO A BREAST CANCER MICROARRAY STUDY. [PDF]
Li S, Hsu L, Peng J, Wang P.
europepmc +1 more source
A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data. [PDF]
Liang S, Liang F.
europepmc +1 more source

