Results 101 to 110 of about 134,557 (305)
A proximal distance algorithm for likelihood-based sparse covariance estimation. [PDF]
Biometrika, 2022 Xu J, Lange K.
europepmc +1 more source
Advanced Science, EarlyView.Canagliflozin treatment reshapes the gut microbiota in DKD and elevates levels of melibiose, a metabolite derived from Roseburia intestinalis. Melibiose directly binds to and enhances the enzymatic activity of glyoxalase 1, leading to decreased methylglyoxal accumulation.
Wei Zhang +32 more
wiley +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Sampled-data filtering with error covariance assignment
, 2001 Copyright [2001] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Huang, B, Wang, Z, Huo, P
core
Navigation Aiding by a Hybrid Laser-Camera Motion Estimator for Micro Aerial Vehicles
Sensors, 2016 Micro Air Vehicles (MAVs) equipped with various sensors are able to carry out autonomous flights. However, the self-localization of autonomous agents is mostly dependent on Global Navigation Satellite Systems (GNSS).
Jamal Atman +3 more
doaj +1 more source
Mean and Covariance Estimation for Functional Snippets. [PDF]
J Am Stat Assoc, 2022 Lin Z, Wang JL.
europepmc +1 more source
Advanced Science, EarlyView.This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Bayesian Covariance Matrix Estimation using a Mixture of Decomposable Graphical Models [PDF]
Estimating a covariance matrix efficiently and discovering its structure are important statistical problems with applications in many fields. This article takes a Bayesian approach to estimate the covariance matrix of Gaussian data.
Christopher K. Carter +3 more
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A No-Arbitrage Approach to Range-Based Estimation of Return Covariances and Correlations [PDF]
We extend range-based volatility estimation to the multivariate case. In particular, we propose a range-based covariance estimator motivated by a key financial economic consideration, the absence of arbitrage, in addition to statistical considerations ...
Michael W. Brandt, Francis X. Diebold
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Adaptive Covariance Estimation Method for LiDAR-Aided Multi-Sensor Integrated Navigation Systems
Micromachines, 2015 The accurate estimation of measurements covariance is a fundamental problem in sensors fusion algorithms and is crucial for the proper operation of filtering algorithms.
Shifei Liu +3 more
doaj +1 more source