Results 91 to 100 of about 14,660 (227)
Inference on the Attractor Space via Functional Approximation
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT This paper discusses semiparametric inference on hypotheses on the cointegration and the attractor spaces for I(1)$$ I(1) $$ linear processes with moderately large cross‐sectional dimension. The approach is based on sample canonical correlations and functional approximation of Brownian motions, and it can be applied both to the whole system ...
Massimo Franchi, Paolo Paruolo
wiley +1 more source
Restoration Ecology, EarlyView.Abstract Introduction Temporary ponds in the Mediterranean climate have a high conservation value, but many have been severely destroyed or degraded. Pond restoration and new pond creation have been engaged widely. Evaluations of the success of such operations are generally carried out over 10–15 years and show divergent results over this timeframe. In
Hugo Fontès +5 more
wiley +1 more source
CNN-CCA: A deep learning approach for anomaly detection in metro rail sensor time-series data
Machine Learning with ApplicationsThe Internet of Things (IoT) offers new challenges in estimating correlations among data from multiple connected devices to understand their behaviors.
Vignesh Rao +4 more
doaj +1 more source
Confirmatory Composite Analysis
Frontiers in Psychology, 2018 This article introduces confirmatory composite analysis (CCA) as a structural equation modeling technique that aims at testing composite models. It facilitates the operationalization and assessment of design concepts, so-called artifacts. CCA entails the
Florian Schuberth +3 more
doaj +1 more source
Signal Extraction for Brain-Computer Interface
, 2003 We use Kernel Canonical Correlation Analysis (KCCA) for detecting brain activity in function MRI by learning a semantic representation of fMRI brain scans and their associated time frequency.
Shawe-Taylor, John, Hardoon, David R.
core
Restoration Ecology, EarlyView.Abstract Introduction Urban soil unsealing, the removal of impervious surface layers, is increasingly promoted as a habitat restoration strategy to enhance ecosystem resilience in cities. Yet, its potential to support soil biodiversity from the onset remains underexplored.
Robin Chevrel +4 more
wiley +1 more source
Substrate Stiffness and Viscoelasticity Influence Fibroblast Senescence
Journal of Biomedical Materials Research Part A, Volume 114, Issue 7, July 2026.ABSTRACT Senescent cell accumulation has been implicated in aging and fibrotic disease, which are both characterized by increased tissue stiffness. However, the direct connection between tissue mechanics and senescence induction remains disputed in the literature.
Mackenzie L. Skelton +4 more
wiley +1 more source
Face-sketch recognition using canonical correlation analysis
, 2013 Hand-drawn face sketches are frequently used in criminal investigations. In this paper, we present a novel framework for face recognition from sketches. Our framework based is on Principle Component Analysis (PCA) and Canonical Correlation Analysis (CCA).
Ozkazanc, Yakup +3 more
core +1 more source
International Journal of Climatology, Volume 46, Issue 7, 15 June 2026.Daily bias‐correction aggregated to monthly scale preserves the cross‐correlation between precipitation and temperature better than direct monthly bias‐correction. The Canonical Correlation Analysis (CCA) method outperforms Quantile Regression (QR) and MACA, yielding lower bias and higher accuracy, highlighting its suitability for multivariate climate ...
Chingka Kalai +3 more
wiley +1 more source
Canonical Correlation Analysis for Longitudinal Data
, 2010 Data (multivariate data) on two sets of vectors commonly occur in applications. Statistical analysis of these data is usually done using a canonical correlation analysis (CCA).
McCollum, Raymond
core +1 more source