Results 51 to 60 of about 354,947 (289)
Group Lasso for high dimensional sparse quantile regression models [PDF]
, 2011 This paper studies the statistical properties of the group Lasso estimator for high dimensional sparse quantile regression models where the number of explanatory variables (or the number of groups of explanatory variables) is possibly much larger than ...
Kato, Kengo
core
, 2018 We study the isotonic regression estimator over a general countable pre-ordered set. We obtain the limiting distribution of the estimator and study its properties.
Anevski, Dragi, Pastukhov, Vladimir
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
Estimation of the finite population covariance using calibration
Nonlinear Analysis, 2010 Estimators of the finite population covariance with several systems of weights are considered. New calibrated estimators of the finite population covariance (variance) are derived, using two and three weighting systems that are defined by various ...
A. Plikusas, D. Pumputis
doaj +1 more source
The Lasso for High-Dimensional Regression with a Possible Change-Point [PDF]
, 2014 We consider a high-dimensional regression model with a possible change-point due to a covariate threshold and develop the Lasso estimator of regression coefficients as well as the threshold parameter.
Lee, Sokbae +2 more
core +2 more sources
Modified Regression Estimators for Improving Mean Estimation -Poisson Regression Approach
Pakistan Journal of Statistics and Operation Research, 2022 In this article, a class of Poisson-regression based estimators has been proposed for estimating the finite population mean in simple random sampling without replacement (SRSWOR). The Poisson-regression model is the most common method used to model count responses in many studies. The expression for bias and mean square error (MSE) of proposed class of
Zakir Hussain Wani Jana +4 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source
Weighted Median Regression Estimates
The Annals of Statistics, 1978 In the simple linear regression problem $\{Y_i = \alpha + \beta x_i + e_i i = 1,\cdots, n, e_i$ i.i.d. $\sim F$ continuous, $x_1 \leqq \cdots \leqq x_n$ known, $\alpha, \beta$ unknown$\}$ we investigate the following type of estimator: To each $s_{ij} = (Y_j - Y_i)/(x_j - x_i)$ with $x_i < x_j$ attach weight $w_{ij}$ and as estimator for $\beta ...
openaire +3 more sources
MYCN Amplification in RB1‐Inactivated Retinoblastoma: Association With High‐Risk Features
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background MYCN amplification occurs in a subset of retinoblastoma cases, both with and without RB1 inactivation. It has been suggested that retinoblastomas with MYCN amplification represent a distinct entity with more aggressive clinical behavior.
Kyriaki Papaioannou +9 more
wiley +1 more source
Noncrossing quantile regression curve estimation [PDF]
Biometrika, 2010 Since quantile regression curves are estimated individually, the quantile curves can cross, leading to an invalid distribution for the response. A simple constrained version of quantile regression is proposed to avoid the crossing problem for both linear and nonparametric quantile curves.
Howard D. Bondell +2 more
openaire +3 more sources