Results 101 to 110 of about 556,837 (257)

On combining estimated and analytic covariance matrices

open access: yesThe Open Journal of Astrophysics
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

Orthogonal Methods for Generating Large Positive Semi-Definite Covariance Matrices [PDF]

open access: yes
It is a common problem in risk management today that risk measures and pricing models are being applied to a very large set of scenarios based on movements in all possible risk factors.
Carol Alexander
core  

Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG

open access: yesAdvanced Science, EarlyView.
Simultaneous MEG and stereotactic EEG (SEEG) recordings provide a direct validation framework for MEG source imaging in focal epilepsy. Virtual SEEG signals derived from MEG reconstructions reveal significant agreement with intracranial measures of spike localization, resting‐state oscillations, and functional connectivity, while also identifying ...
Jawata Afnan   +10 more
wiley   +1 more source

On the estimation of covariance matrices using panel data artificial regressions

open access: yes, 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

Estimation of functionals of sparse covariance matrices

open access: yesThe Annals of Statistics, 2015
Published at http://dx.doi.org/10.1214/15-AOS1357 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Fan, Jianqing   +2 more
openaire   +7 more sources

Evaluating covariance matrix forecasts in a value-at-risk framework [PDF]

open access: yes
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  

RPLP2 Mediates the Beneficial Effects of Exercise on Stress Resistance Through Muscle–Brain Communication

open access: yesAdvanced Science, EarlyView.
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo   +18 more
wiley   +1 more source

Circulant matrices on global data analysis [PDF]

open access: yes, 2017
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  

StackingNet: Collective Inference Across Independent AI Foundation Models

open access: yesAdvanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li   +4 more
wiley   +1 more source

A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics

open access: yesAdvanced Science, EarlyView.
A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma   +22 more
wiley   +1 more source

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