Results 141 to 150 of about 7,690 (301)
An improved and efficient Liu estimator for logistic regression model
Logistic regression is one of the most important and widely applied statistical models for analyzing binary response data in various scientific and applied fields.
А. М. Алгбури
doaj +1 more source
Bioorthogonal chemistry was applied to intracellularly photoactivate Doxorubicin (Dox) using gold nanostars (AuNSt) and near‐infrared (NIR) light. Two prodrugs were used: one photoactivatable, masked with 2‐nitrobenzyl carbamate (proDox1) and another photolabile, masked with 2‐nitrobenzyl diol (proDox2), which was attached to the AuNSt surface.
Juan José Esteve‐Moreno +15 more
wiley +1 more source
Difference based Ridge and Liu type Estimators in Semiparametric Regression Models [PDF]
We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε.
Wolfgang Karl Härdle +2 more
core
A Bayesian shrinkage estimator for transfer learning
Transfer learning (TL) has emerged as a powerful tool to supplement data collected for a target task with data collected for a related source task. The Bayesian framework is natural for TL because information from the source data can be incorporated in the prior distribution for the target data analysis.
Mohamed A. Abba +2 more
openaire +2 more sources
The water permeability of amorphous carbon dots (CDs) is demonstrated by investigating their plasticization. Novel polyamide‐based and amorphous nanoparticles are synthesized by controlling their inner packing density. Water plasticization is evidenced by the decrease of the CDs glass transition temperature with increasing the hydration degree.
Elisa Sturabotti +8 more
wiley +1 more source
Optimal Shrinkage Estimations for the Parameters of Exponential Distribution Based on Record Values [PDF]
This paper studies shrinkage estimation after the preliminary test for the parameters of exponential distribution based on record values. The optimal value of shrinkage coefficients is also obtained based on the minimax regret criterion.
Zakerzadeh, Hojatollah +2 more
core
In this study, we investigate the issue of estimating the mean vector of a multivariate normal distribution. We introduce two new families of shrinkage estimators derived from both the maximum likelihood estimator and the James-Stein estimator.
Najla M. ALoraini +2 more
doaj +1 more source
Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades +7 more
wiley +1 more source
Shrinkage estimation of the slope parameters of two parallel regression lines under uncertain prior information [PDF]
The estimation of the slope parameter of two linear regression models with normal errors are considered, when it is suspected that the two lines are parallel. The uncertain prior information about the equality of slopes is presented by a null hypothesis
Khan, Shahjahan
core
A correlation-robust shrinkage estimator: Oracle inequality and an application on out-of-sample factor selection [PDF]
Shrinkage methods are widely used in big data to achieve sparse variable selection and reduce overfitting. However, these methods, such as LASSO (Tibshirani, 1996), often struggle when faced with highly correlated predictors.
Sun, C.
core +1 more source

