SURPRISES IN HIGH-DIMENSIONAL RIDGELESS LEAST SQUARES INTERPOLATION. [PDF]
Hastie T +3 more
europepmc +1 more source
Modified Ridge Parameters for Seemingly Unrelated Regression Model [PDF]
In this paper, we modify a number of new biased estimators of seemingly unrelated regression (SUR) parameters which are developed by Alkhamisi and Shukur (2008), AS, when the explanatory variables are affected by multicollinearity.
Kibria, B. M. Golam +2 more
core +1 more source
An Empirical Evaluation of Five Small Area Estimators [PDF]
This paper compares five small area estimators. We use Monte Carlo simulation in the context of both artificial and real populations. In addition to the direct and indirect estimators, we consider the optimal composite estimator with population weights ...
Albert Satorra, Alex Costa, Eva Ventura
core
Improving small area estimation by combining surveys: new perspectives in regional statistics [PDF]
A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province.
Albert Satorra, Alex Costa, Eva Ventura
core
Variable selection in finite mixture of regression models using the skew-normal distribution. [PDF]
Yin J, Wu L, Dai L.
europepmc +1 more source
A Penalized Maximum Likelihood Approach to Sparse Factor Analysis
Jang Choi, H. Zou, Gary W. Oehlert
semanticscholar +1 more source
Who determines United States Healthcare out-of-pocket costs? Factor ranking and selection using ensemble learning. [PDF]
Zhang C, Ding Y, Peng Q.
europepmc +1 more source
Adjusting the penalized term for the regularized regression models
M. Haggag
semanticscholar +1 more source
Shrinkage estimation of non-negative mean vector with unknown covariance under balance loss. [PDF]
Karamikabir H, Afshari M, Arashi M.
europepmc +1 more source
Lasso Monte Carlo, a variation on multi fidelity methods for high-dimensional uncertainty quantification. [PDF]
AlbĂ A +3 more
europepmc +1 more source

