Results 31 to 40 of about 4,577,308 (305)

Semi-parametric regression estimation of the tail index

Electronic Journal of Statistics, 2018
Let \( X_{1},X_{2},\ldots,X_{n} \) be a random sample with a distribution function \(F\) satisfying \[ \bar{F}\left( x\right) =x^{-\alpha} L\left(x \right), \quad x\rightarrow \infty, \] where \( \bar{F}=1-F \) and \( L\left(x \right) \) is a slowly varying function, satisfying \( L\left(tx \right) / L\left(x \right) \rightarrow 1 \) as \( x\rightarrow
Jia, Mofei, Taufer, Emanuele, Dickson, Maria Michela   +2 more
openaire   +4 more sources

An Improved Robust Regression Model for Response Surface Methodology

Croatian Operational Research Review, 2018
In production, manufacturing and several other allied industries, appropriate tool is applied in the analysis of data in order to enhance the opportunity for product and process optimization.
Efosa Edionwe, J. I. Mbegbu, N. Ekhosuehi, H. O. Obiora-Ilouno   +3 more
doaj   +1 more source

Wavelet Estimation of Semi-parametric Regression Model

International Journal on Advanced Science, Engineering and Information Technology, 2020
The semi-parametric regression model combines parametric and nonparametric regression. However, non-parametric estimation may provide flexible solutions to the problems suffers by the regression model, but the problem of dimensionality that this estimator suffers, which occurs due to the increasing number of explanatory variables, still remain, this ...
Ahmed Shaker Mohammed Tahir, Firas Monther Jassim   +1 more
openaire   +1 more source

Selection Consistency of Lasso-Based Procedures for Misspecified High-Dimensional Binary Model and Random Regressors

Entropy, 2020
We consider selection of random predictors for a high-dimensional regression problem with a binary response for a general loss function. An important special case is when the binary model is semi-parametric and the response function is misspecified under
Mariusz Kubkowski, Jan Mielniczuk
doaj   +1 more source

Sparse sliced inverse regression for high dimensional data analysis

BMC Bioinformatics, 2022
Background Dimension reduction and variable selection play a critical role in the analysis of contemporary high-dimensional data. The semi-parametric multi-index model often serves as a reasonable model for analysis of such high-dimensional data.
Haileab Hilafu, Sandra E. Safo
doaj   +1 more source

Semi-parametric regression in 'predictmeans'

, 2022
R package 'predictmeans' is used to calculate predicted means for linear models. It provides functions to visualize, diagnose and make inferences such as predicted means and standard errors, contrasts, multiple comparisons and permutation test. Recently,
Dongwen Luo (710830)
core  

MITF maintains genome stability in nonmelanocyte lineages

Molecular Oncology, EarlyView.
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir, Adrián López García de Lomana, Thejus B. Venkatesh, Kritika Kirty, Snaevar Sigurdsson, Linda Vidarsdottir, Ramile Dilshat, Erla Sveinbjornsdottir, Snaedis Ragnarsdottir, Daniel H Magnusson, Maria R. Bustos, Eirikur Steingrimsson, Thorkell Gudjonsson, Stefan Sigurdsson   +13 more
wiley   +1 more source

Kernel-based whole-genome prediction of complex traits: a review

Frontiers in Genetics, 2014
Prediction of genetic values has been a focus of applied quantitative genetics since the beginning of the 20th century, with renewed interest following the advent of the era of whole genome-enabled prediction.
Gota eMorota, Daniel eGianola
doaj   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

All models are wrong, but which are useful? Comparing parametric and nonparametric estimation of causal effects in finite samples

Journal of Causal Inference, 2023
There is a long-standing debate in the statistical, epidemiological, and econometric fields as to whether nonparametric estimation that uses machine learning in model fitting confers any meaningful advantage over simpler, parametric approaches in finite ...
Rudolph Kara E., Williams Nicholas T., Miles Caleb H., Antonelli Joseph, Diaz Ivan   +4 more
doaj   +1 more source