Results 131 to 140 of about 2,877,467 (378)
Large-scale portfolios using realized covariance matrix: evidence from the Japanese stock market [PDF]
The objective of this paper is to examine effects of realized covariance matrix estimators based on intraday returns on large-scale minimum-variance equity portfolio optimization.
Masato Ubukata
core
An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments
Advanced Science, EarlyView.This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan +4 more
wiley +1 more source
International Journal of Applied Earth Observations and GeoinformationLow scattering terrain areas introduce complex phase interference, which reduces the accuracy of deformation signal estimation in InSAR(Interferometric Synthetic Aperture Radar) techniques. Existing covariance matrix-based InSAR phase calculation methods
Dingyi Zhou, Zhifang Zhao
doaj +1 more source
Polarization‐Dependent 3D Holography Generated by Inverse Design Nanoprinting Metasurface
Advanced Science, EarlyView.A novel polarization‐dependent 3D holography is proposed by introducing polarization as an additional freedom, enabling enhanced depth selectivity and greater control over holographic reconstruction. The efforts perfectly combine the polarization and 3D holography display into ADAM gradient descent algorithm, the application of nanoprinting further ...
Lingxing Xiong +7 more
wiley +1 more source
The Performance Analysis Based on SAR Sample Covariance Matrix
Sensors, 2012 Multi-channel systems appear in several fields of application in science. In the Synthetic Aperture Radar (SAR) context, multi-channel systems may refer to different domains, as multi-polarization, multi-interferometric or multi-temporal data, or even a ...
Esra Erten
doaj +1 more source
Multivariate Realized Stock Market Volatility [PDF]
We present a new matrix-logarithm model of the realized covariance matrix of stock returns. The model uses latent factors which are functions of both lagged volatility and returns. The model has several advantages: it is parsimonious; it does not require
Gregory H. Bauer, Keith Vorkink
core
Upper limits on persistent gravitational waves using folded data and the full covariance matrix from Advanced LIGO’s first two observing runs [PDF]
, 2021 D. Agarwal, J. Suresh, S. Mitra, A. Ain
openalex +1 more source
Multimodal Layer‐Crossing Interrogation of Brain Circuits Enabled by Microfluidic Axialtrodes
Advanced Science, EarlyView.The study introduces a flexible microfluidic axialtrode that integrates optical, electrical, and chemical modalities within a single polymer fiber. By redistributing electrodes and fluidic channels along the fiber axis via angled cleaving, it enables simultaneous optogenetic stimulation, electrophysiological recording, and drug delivery across brain ...
Kunyang Sui +8 more
wiley +1 more source
Advanced Science, EarlyView.This study introduces stVGP, a variational spatial Gaussian process framework for multi‐modal, multi‐slice spatial transcriptomics. By integrating histological and genomic data through hybrid alignment and attention‐based fusion, stVGP reconstructs coherent 3D functional landscapes.
Zedong Wang +3 more
wiley +1 more source
Radar Target Detection Method of Aircraft Wake Vortices Based on Matrix Information Geometry
Leida xuebao, 2017 The application of matrix information geometry to radar signal processing and target detection is a new and interesting subject. Wake vortices are Doppler-spread after Fourier transform.
Liu Junkai +4 more
doaj +1 more source