Results 151 to 160 of about 479,757 (331)
Shrinkage estimators for periodic autoregressions
A periodic autoregression [PAR] is a seasonal time series model where the autoregressive parameters vary over the seasons. A drawback of PAR models is that the number of parameters increases dramatically when the number of seasons gets large.
Paap, Richard +1 more
core +1 more source
Optimal Shrinkage Estimations for the Parameters of Exponential Distribution Based on Record Values
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.
HOJATOLLAH ZAKERZADEH +2 more
doaj
Multicollinearity among predictor variables is a common challenge in modeling chemical and environmental datasets in physical sciences, often leading to collinearity issues and unreliable parameter estimates when fitting regression models.
Muteb Faraj Alharthi
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
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
Portfolio risk measurement: the estimation of the covariance of stock returns [PDF]
A covariance matrix of asset returns plays an important role in modern portfolio analysis and risk management. Despite the recent interests in improving the estimation of a return covariance matrix, there remain many areas for further investigation. This
Liu, Lan
core
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil +14 more
wiley +1 more source

