Results 151 to 160 of about 4,500,411 (350)
An Introduction to Shrinkage Estimation of the Covariance Matrix: A Pedagogic Illustration
Spreadsheets in Education, 2011 Shrinkage estimation of the covariance matrix of asset returns was introduced to the finance profession several years ago. Since then, the approach has also received considerable attention in various life science studies, as a remedial measure for ...
Clarence C. Y. Kwan
doaj
Advanced Science, EarlyView.A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Bo Wang +8 more
wiley +1 more source
On the estimation of covariance matrices using panel data artificial regressions
, 2003 The use of artificial regressions to compute the variance of the difference of pairs of panel data estimators that cannot be ranked in terms of efficiency is considered.
Patacchini, Eleonora
core +1 more source
Virtual covariance matrix reconstruction-based adaptive beamforming for small aperture array. [PDF]
PLoS One, 2023 Chang L, Zhang H, Yang H, Lv T, Tang N.
europepmc +1 more source
A note on testing the covariance matrix for large dimension [PDF]
We consider the problem of testing hypotheses regarding the covariance matrix of multivariate normal data, if the sample size s and dimension n satisfy lim [n,s→∞] n/s = y. Recently, several tests have been proposed in the case, where the sample size and
Dette, Holger, Birke, Melanie
core
Advanced Science, EarlyView.Single‐cell, spatial, molecular, and pathology analyses identify a CDH3‐associated malignant epithelial state in thymic epithelial tumors. This state links stem‐like and EMT programs to M2 macrophage–rich immunosuppressive niches, genomic instability, poor survival, and drug vulnerability.
Yuntao Feng +13 more
wiley +1 more source
Statistical learning of protein elastic network from positional covariance matrix. [PDF]
Comput Struct Biotechnol J, 2023 Yu CC, Raj N, Chu JW.
europepmc +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
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
Advanced Science, EarlyView.This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
wiley +1 more source
Satellite Interference Source Direction of Arrival (DOA) Estimation Based on Frequency Domain Covariance Matrix Reconstruction. [PDF]
Sensors (Basel), 2023 Yao J +5 more
europepmc +1 more source