Results 111 to 120 of about 25,397 (329)

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, Shukur , Ghazi, Zeebari , Zangin   +2 more
core   +1 more source

Ridge regression estimator and related estimators

, 2020
Kaynakça (s. 103-115) var.
openaire   +2 more sources

Bifunctional Artificial Enzymes‐Loaded Microgels With LOX‐ and CAT‐Like Activities for Metabolic Reprogramming and Scarless Wound Repair

Advanced Science, EarlyView.
A bifunctional lactate oxidase‐like and catalase‐like artificial enzyme (Metazyme) is integrated into a rod‐shaped microgel (MetaRgel) to enable cascade lactate oxidation and oxygen regeneration. By reprogramming the wound metabolic microenvironment, MetaRgel alleviates excessive lactate accumulation, oxidative stress, hypoxia, and inflammation ...
Yongyuan Kang, Pai Peng, Liang Song, Qiaoxuan Wang, Zilong Zhong, Dongchao Qiu, Yunfan Liu, Kefei Zhao, Xiaofei Dong, Changyou Gao   +9 more
wiley   +1 more source

Comparison of Some Suggested Estimators Based on Differencing Technique in the Partial Linear Model Using Simulation

مجلة بغداد للعلوم, 2019
In this paper new methods were presented based on technique of differences which is the difference- based modified jackknifed generalized ridge regression estimator(DMJGR) and difference-based generalized  jackknifed ridge regression estimator(DGJR), in ...
Saja Mohammad Hussein
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Nonlinear Forecasting with Many Predictors using Kernel Ridge Regression [PDF]

, 2011
This paper puts forward kernel ridge regression as an approach for forecasting with many predictors that are related nonlinearly to the target variable.
Dijk, D.J.C. (Dick) van, Exterkate, P. (Peter), Groenen, P.J.F. (Patrick), Heij, C. (Christiaan)   +3 more
core  

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

Advanced Science, EarlyView.
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng, Yufan Zhao, Mingyang Cao, Haiou Yang, Pan Wang, Hongze Wang, Hao Wang, Akihiko Chiba, Xin Lin   +8 more
wiley   +1 more source

Comparison of Some Estimators under the Pitman’s Closeness Criterion in Linear Regression Model

Journal of Applied Mathematics, 2014
Batah et al. (2009) combined the unbiased ridge estimator and principal components regression estimator and introduced the modified r-k class estimator.
Jibo Wu
doaj   +1 more source

ESTIMASI PARAMETER REGRESI RIDGE MENGGUNAKAN ITERASI HOERL, KENNARD, DAN BALDWIN (HKB) UNTUK PENANGANAN MULTIKOLINIERITAS (Studi Kasus Pengaruh BI Rate, Jumlah Uang Beredar, dan Nilai Tukar Rupiah terhadap Tingkat Inflasi di Indonesia) [PDF]

, 2015
Regression analysis is statistical method used to analyze the dependence of respond variables to predictor variable. In multiple linear regression analysis, there are assumptions that must be met, they are normality, homoscedasticity, absence of ...
Solekakh, Nur Aeniatus
core  

On the impact of predictor geometry on the performance on high-dimensional ridge-regularized generalized robust regression estimators [PDF]

, 2017
Noureddine El Karoui
openalex   +1 more source