Results 91 to 100 of about 34,185 (288)
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions [PDF]
In this work we provide an estimator for the covariance matrix of a heavy-tailed multivariate distributionWe prove that the proposed estimator $\widehat{\mathbf{S}}$ admits an \textit{affine-invariant} bound of the form \[(1-\varepsilon) \mathbf{S ...
Ostrovskii, Dmitrii, Rudi, Alessandro
core +3 more sources
Non‐Continuous Iridescent Variable Structural Color Based on Metallic Surface Periodic Structures
This study presents an ink‐free laser nanofabrication technique that generates periodic arched microstructures on titanium surfaces, achieving non‐continuous iridescent dual‐color switching. The ridge and side flanks of these structures possess distinct oxide film thicknesses, enabling angle‐dependent selective reflection of specific wavelengths.
XiangWei Liu +3 more
wiley +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
KINERJA JACKKNIFE RIDGE REGRESSION DALAM MENGATASI MULTIKOLINEARITAS
Ordinary least square is a parameter estimations for minimizing residual sum of squares. If the multicollinearity was found in the data, unbias estimator with minimum variance could not be reached.
HANY DEVITA +2 more
doaj +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Takeuchi's Information Criteria as a form of Regularization
Takeuchi's Information Criteria (TIC) is a linearization of maximum likelihood estimator bias which shrinks the model parameters towards the maximum entropy distribution, even when the model is mis-specified.
Dixon, Matthew, Ward, Tyler
core +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Random Projections For Large-Scale Regression
Fitting linear regression models can be computationally very expensive in large-scale data analysis tasks if the sample size and the number of variables are very large.
B. McWilliams +8 more
core +1 more source
Estimation in regret-regression using quadratic inference functions with ridge estimator. [PDF]
Abdul Jalil NR +2 more
europepmc +1 more source
Topography‐Regulated Screening Platform for Myoblast Contact Guidance
This study develops a topography‐regulated screening platform (12 gradients in 96‐topography‐well plate) enabling analysis of skeletal muscle morphogenesis. The topography‐induced cell morphology changed, cell polarization, and myotube differentiation, establishing an evaluative framework for generating pathologically relevant myotube phenotypes to ...
Tianqi Feng +6 more
wiley +1 more source

