Results 111 to 120 of about 134,557 (305)
Advanced Science, EarlyView.Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao +7 more
wiley +1 more source
Statistical Imaging in Radio Astronomy via an Expectation-Maximization Algorithm for Structured
, 2008 Image formation in radio astronomy is often posed as a problem of constructing a nonnegative function from sparse samples of its Fourier transform. We explore an alternative approach which reformulates the problem in terms of estimating the entries of a ...
Aaron D. Lanterman +1 more
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Spectral guided sparse inverse covariance estimation of metabolic networks in Parkinson's disease. [PDF]
Neuroimage, 2021 Spetsieris PG, Eidelberg D.
europepmc +1 more source
Consistent estimate of a residuals covariance for the estimation of noise covariance
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications, 2023 Ikeda, Kenji, Tanaka, Hideyuki
openaire +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Robust Covariance Matrix Estimation with Data-Dependent VAR Prewhitening Order [PDF]
This paper analyzes the performance of heteroskedasticity-and-autocorrelation-consistent (HAC) covariance matrix estimators in which the residuals are prewhitened using a vector autoregressive (VAR) filter.
Wouter J. den Haan, Andrew T. Levin
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Knowledge-aided STAP in heterogeneous clutter using a hierarchical bayesian algorithm [PDF]
, 2011 This paper addresses the problem of estimating the covariance matrix of a primary vector from heterogeneous samples and some prior knowledge, under the framework of knowledge-aided space-time adaptive processing (KA-STAP).
Bidon, Stéphanie +5 more
core +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe polarimetric synthetic aperture radar tomography (TomoSAR) technique has proven to be a highly promising cutting-edge microwave remote sensing technique for obtaining forest vertical structure parameters because of its ability in three-dimensional ...
Youjun Wang +7 more
doaj +1 more source
Synchronization‐Dissipation in the Cardiorespiratory System
Advanced Science, EarlyView.By modeling central nervous coupling and viscoelastic interactions in the cardiorespiratory system we show that synchronization produces a 10% gain in cardiac efficiency in humans. It is surmised that respiratory sinus arrhythmia improves cardiac pumping efficiency by reducing dynamic stress and power dissipation in the pulmonary vasculature.
Joshua R. Border +3 more
wiley +1 more source
Honey, I shrunk the sample covariance matrix [PDF]
The central message of this paper is that nobody should be using the sample covariance matrix for the purpose of portfolio optimization. It contains estimation error of the kind most likely to perturb a mean-variance optimizer.
Michael Wolf, Olivier Ledoit
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