Results 81 to 90 of about 150,011 (287)

A multivariate generalized independent factor GARCH model with an application to financial stock returns [PDF]

, 2008
We propose a new multivariate factor GARCH model, the GICA-GARCH model , where the data are assumed to be generated by a set of independent components (ICs).
García-Ferrer, Antonio, González-Prieto, Ester, Peña, Daniel   +2 more
core   +1 more source

Iron and Nickel Substituted Perovskite Cobaltites for Sustainable Oxygen Evolving Anodes in Alkaline Environment

ChemSusChem, Volume 18, Issue 6, March 15, 2025.
Perovskite oxide catalysts with reduced Co content, substituted by Fe and Ni, are synthesized and studied for their activity in the oxygen evolution reaction in alkaline media. An increase in the intrinsic catalytic activity (obtained by the (RctCdl)−1 product) of the base material (Ba0.5Gd0.8La0.7Co2O6‐δ) is seen for an as high as 70 % substitution of
Henrik Petlund, Alaa Faid, Junjie Zhu, Anuj Pokle, Truls Norby, Svein Sunde, Athanasios Chatzitakis   +6 more
wiley   +1 more source

Overlearning in marginal distribution-based ICA: analysis and solutions [PDF]

, 2003
The present paper is written as a word of caution, with users of independent component analysis (ICA) in mind, to overlearning phenomena that are often observed.\\ We consider two types of overlearning, typical to high-order statistics based ICA.
Särelä, Mr Jaakko
core  

Rodent monocyte‐derived macrophages do not express CD163: Comparative analysis using macrophages from living boreoeutherians

Developmental Dynamics, EarlyView.
Abstract Background CD163 is a scavenger receptor predominantly expressed on the surfaces of macrophages in various mammalian species and is a marker of anti‐inflammatory (M2‐like) macrophages. High density of CD163‐positive tumor‐associated macrophages (TAMs) is associated with worse prognosis in various patient tumors.
Yoichi Saito, Yukio Fujiwara, Yasuka L. Yamaguchi, Satomi S. Tanaka, Kyoko Miura, Yoshiyuki Hizukuri, Kyoko Yamashiro, Yasuhiro Hayashi, Yuta Nakashima, Yoshihiro Komohara   +9 more
wiley   +1 more source

Uncovering beam position monitor noise at the Relativistic Heavy Ion Collider

Physical Review Special Topics. Accelerators and Beams, 2015
We apply the independent component analysis (ICA) algorithm to uncover intrinsic noise in the beam position monitor (BPM) system. Numerical simulations found that ICA is efficient in the BPM noise estimation.
X. Shen, S. Y. Lee, M. Bai
doaj   +1 more source

Clusterwise Independent Component Analysis (C-Ica): An R Package for Clustering Subjects Based on Ica Patterns Underlying Three-Way (Brain) Data

Neurocomputing
In many areas of science, like neuroscience, genomics and text mining, several important and challenging research questions imply the study of (subject) heterogeneity present in three-way data. In clinical neuroscience, for example, disclosing differences or heterogeneity between subjects in resting state networks (RSNs) underlying multi-subject fMRI ...
Durieux, J., Rombouts, S.A.R.B., Koini, M., Gonzalez Claramunt, J., Wilderjans, T.F.   +4 more
openaire   +3 more sources

TVICA - Time Varying Independent Component Analysis and Its Application to Financial Data [PDF]

Source extraction and dimensionality reduction are important in analyzing high dimensional and complex financial time series that are neither Gaussian distributed nor stationary.
Ray-Bing Chen, Wolfgang Härdle, Ying Chen   +2 more
core  

A Comprehensive Review on the Significance, Sources, and Applications of Virtual Water on Global Platform

Food Safety and Health, EarlyView.
A conceptual framework of virtual water showing its sources, major applications, components of the virtual water footprint, and emerging future directions. The diagram emphasizes the growing role of virtual water in global sustainability and resource planning.
Priti Bhowmik, Charu Rajpal, Vinay Kumar Pandey   +2 more
wiley   +1 more source

Measuring the accuracy of ICA-based artifact removal from TMS-evoked potentials

Brain Stimulation
Background: The analysis and interpretation of transcranial magnetic stimulation (TMS)-evoked potentials (TEPs) relies on successful cleaning of the artifacts, which typically mask the early (0–30 ms) TEPs.
Iiris Atti, Paolo Belardinelli, Risto J. Ilmoniemi, Johanna Metsomaa   +3 more
doaj   +1 more source