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
Two Sample Tests for High Dimensional Covariance Matrices [PDF]
, 2012 We propose two tests for the equality of covariance matrices between two high-dimensional populations. One test is on the whole variance-covariance matrices, and the other is on offdiagonal sub-matrices which define the covariance between two non ...
Li, Jun +3 more
core +3 more sources
Directional monitoring and diagnosis for covariance matrices. [PDF]
J Appl Stat, 2022 Jing H, Li J, Bai K.
europepmc +1 more source
On the estimation of covariance matrices using panel data artificial regressions [PDF]
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
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
Element Aggregation for Estimation of High-Dimensional Covariance Matrices
MathematicsThis study addresses the challenge of estimating high-dimensional covariance matrices in financial markets, where traditional sparsity assumptions often fail due to the interdependence of stock returns across sectors.
Jingying Yang
doaj +1 more source
Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation. [PDF]
Environmetrics, 2022 Ver Hoef JM +5 more
europepmc +1 more source
CHD8‐Dependent Chromatin Licensing Sustains Trophoblast Stem Cell Transcriptional Programs
Advanced Science, EarlyView.In this study, Huang et al., identify chromatin remodeler CHD8 as an essential factor in TSC maintenance and placental development. CHD8‐dependent chromatin accessibility supports the occupancy of key trophoblast TFs and is coupled to KMT2A‐associated H3K4me3 deposition at TSC stem and cell cycle genes, providing a permissive chromatin environment for ...
Yuanyuan Huang +16 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
Comparison of BLUPs under multiple partitioned linear model and its correctly-reduced models
Miskolc Mathematical NotesIn this study, we investigate the relations between a multiple partitioned linear model and its correctly-reduced models. We consider the comparison problem of covariance matrices of the best linear unbiased predictors (BLUPs) of all unknown vectors ...
Nesrin Güler, Melek Eriş Büyükkaya
doaj +1 more source