Results 101 to 110 of about 623,991 (302)
Distribution of the likelihood ratio statistic for testing homogeneity of covariance matrices of completely symmetric Gaussian models [PDF]
In this article the distribution of the likelihood ratio test statistic for testing equality of covariance matrices of completely symmetric Gaussian models has been derived in beta series.
Tayal, Vpin +6 more
core +1 more source
Phosphorescent biodegradable metasurface showing vibronic selection and spectral photoluminescence narrowing. Anti‐correlation between experimental LDOS and measured lifetimes. ABSTRACT Metasurfaces incorporating phosphorescent emitters offer a route to engineer radiative and vibronic processes beyond chemical design.
Vincenzo Caligiuri +11 more
wiley +1 more source
On combining estimated and analytic covariance matrices
The statistical analysis of cosmological data often assumes a Gaussian sampling distribution and relies on covariance matrices estimated from simulations.
Alan Heavens +2 more
doaj +1 more source
Prior for Structural Materials
The construction of a library containing prior cross sections and related covariance matrices for nine frequently measured reaction channels of 276 structural materials from 1 to 150 MeV is presented.
Wildpaner V. +4 more
doaj +1 more source
Evaluating covariance matrix forecasts in a value-at-risk framework [PDF]
Covariance matrix forecasts of financial asset returns are an important component of current practice in financial risk management. A wide variety of models, ranging from matrices of simple summary measures to covariance matrices implied from option ...
Christian A. Walter, Jose A. Lopez
core
Bridging rigid electrodes with soft, irregular tissues demands more than conductivity alone. Modular conductive hydrogels autonomously reconfigure into conformal electrode‐tissue interfaces, coupling mixed ionic‐electronic conduction with tissue‐like mechanics, self‐healing, and degradability.
Matthew K. Burgess +4 more
wiley +1 more source
Unconstrained Metropolis–Hastings Sampling of Covariance Matrices
Markov chain Monte Carlo (MCMC), the predominant algorithm for fitting hierarchal models to data in a Bayesian setting, relies on the ability to sample from the full conditional distributions of unobserved parameters.
Daniel Turek
doaj +1 more source
Use of random integration to test equality of high dimensional covariance matrices. [PDF]
Jiang Y +4 more
europepmc +1 more source
Circulant matrices on global data analysis [PDF]
In this thesis, we investigate the unbiasedness of the commonly used covariance and variogram estimators when the underlying process is assumed to be stationary on the circle or axially symmetric on the sphere. We represent both estimators as a quadratic
Adaramola, Bukola O. +1 more
core
Universal correlations and power-law tails in financial covariance matrices [PDF]
Signatures of universality are detected by comparing individual eigenvalue distributions and level spacings from financial covariance matrices to random matrix predictions.
Akemann, G +5 more
core +1 more source

