Results 31 to 40 of about 396 (97)
Integrating Ridge-type regularization in fuzzy nonlinear regression
, 2012 In this paper, we deal with the ridge-type estimator for fuzzy nonlinear regression models using fuzzy numbers and Gaussian basis functions. Shrinkage regularization methods are used in linear and nonlinear regression models to yield consistent ...
R. Farnoosh, J. Ghasemian, O. S. Fard
semanticscholar +1 more source
Journal of Mathematics, Volume 2026, Issue 1, 2026.An important part of survey sampling is additional information, which allows for more precise estimates of population parameters such as population distribution function, mean, variance, and median. The best outcomes can be assured in this manner. Researchers using survey sampling face the risk of missing important details while attempting to compile ...
Abdullah Mohammed Alomair +2 more
wiley +1 more source
Valid causal inference with unobserved confounding in high-dimensional settings
Journal of Causal InferenceVarious methods have recently been proposed to estimate causal effects with confidence intervals that are uniformly valid over a set of data-generating processes when high-dimensional nuisance models are estimated by post-model-selection or machine ...
Moosavi Niloofar +2 more
doaj +1 more source
The Gaussian Radon Transform in Classical Wiener Space [PDF]
, 2014 We study the Gaussian Radon transform in the classical Wiener space of Brownian motion. We determine explicit formulas for transforms of Brownian functionals specified by stochastic integrals.
Holmes, Irina, Sengupta, Ambar N.
core +3 more sources
Journal of Mathematics, Volume 2025, Issue 1, 2025.This paper investigates the use of shrinkage estimators in the generalized Poisson hurdle (GPH) model for count data analysis. The GPH model effectively handles data with both excess zeros and over‐ or underdispersion. We propose shrinkage estimators to improve parameter estimation in this model and analyze their asymptotic properties, including biases
Hayder Hasan Rahmah Al-Gharrawi +3 more
wiley +1 more source
Majalah Ilmiah Matematika dan StatistikaThis research intends to model high-dimensional data that contains multicollinearity in four machine-learning algorithms: Random Forest, K-Nearest Neighbor, XGBoost, and Regression Tree.
Nur Khamidah +3 more
doaj +1 more source
Almost sure convergence for weighted sums of pairwise PQD random variables
, 2018 We obtain Marcinkiewicz-Zygmund strong laws of large numbers for weighted sums of pairwise positively quadrant dependent random variables stochastically dominated by a random variable $X \in \mathscr{L}_{p}$, $1 \leqslant p < 2$.
da Silva, João Lita
core +1 more source
Estimation in high-dimensional linear models with deterministic design matrices [PDF]
, 2012 Because of the advance in technologies, modern statistical studies often encounter linear models with the number of explanatory variables much larger than the sample size.
Deng, Xinwei, Shao, Jun
core +1 more source
On the performance of the new minimax shrinkage estimators for a normal mean vector
Demonstratio MathematicaThis paper explores new classes of estimators for a multivariate normal mean (MNM) with an unknown variance and evaluating their performance based on the risk relative to the balanced loss function (BLF).
Benkhaled Abdelkader +3 more
doaj +1 more source
New Versions of Liu-type Estimator in Weighted and non-weighted Mixed Regression Model
مجلة بغداد للعلوم, 2020 This paper considers and proposes new estimators that depend on the sample and on prior information in the case that they either are equally or are not equally important in the model.
Mustafa Ismaeel Naif Alheety
doaj