Results 11 to 20 of about 141,753 (193)
Sensors, 2019 Functional infrared imaging (fIRI) is a validated procedure to infer autonomic arousal. Currently, fIRI signals are analysed through descriptive metrics, such as average temperature changes in a region of interest (ROI).
David Perpetuini +4 more
doaj +3 more sources
Geomatics, Natural Hazards and Risk, 2023 AbstractIn this study, the generalized linear model (GLM) and four ensemble methods (partial least squares (PLS), boosting, bagging, and Bayesian) were applied to predict forest fire hazard in the Chalus Rood watershed in the Mazandaran Province, Iran. Data from 108 historical forest fire events collected through field surveys were applied as the basis
Janizadeh, Saeid +6 more
openaire +5 more sources
Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach
Frontiers in Human Neuroscience, 2011 Functional Magnetic Resonance Imaging (fMRI) is one of the most widely used tools to study the neural underpinnings of human cognition. Standard analysis of fMRI data relies on a General Linear Model (GLM) approach to separate stimulus induced signals ...
Martin M Monti
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Determining Pure Premium of Motor Vehicle Insurance with Generalized Linear Models (GLM)
International Journal of Quantitative Research and Modeling, 2023 Motor vehicle insurance guarantees protection, coverage, and compensation for the risks of accidents, damages, and loss of motor vehicles. It is crucial for companies to determine appropriate insurance premium rates as a preventive measure to avoid difficulties in meeting claims filed by policyholders.
Tyrenia Rahmawati +2 more
openaire +1 more source
Hemodynamic matrix factorization for functional magnetic resonance imaging
NeuroImage, 2021 The General Linear Model (GLM) used in task-fMRI relates activated brain areas to extrinsic task conditions. The translation of resulting neural activation into a hemodynamic response is commonly approximated with a linear convolution model using a ...
Michael Hütel +3 more
doaj +1 more source
Quantitative Analysis of Arterial Spin Labeling FMRI Data Using a General Linear Model [PDF]
, 2010 Arterial spin labeling techniques can yield quantitative measures of perfusion by fitting a kinetic model to difference images (tagged-control). Because of the noisy nature of the difference images investigators typically average a large number of tagged
Hernandez-Garcia, Luis +2 more
core +2 more sources
Generalized linear models (GLMs) approach in modeling rainfall data over Johor area [PDF]
AIP Conference Proceedings, 2014 Observations of rainfall data are always changing over time. With the concern over climate change, this study is done to demonstrate how Generalized Additive Models (GAMs) could be utilized to model daily rainfall amount over Johor area. Hence, in modeling rainfall amount, Cyclic Cubic Spline is used as the smoothing technique.
Suhaimi Hanisah, Jamaludin Suhaila
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HRF estimation improves sensitivity of fMRI encoding and decoding models [PDF]
, 2013 Extracting activation patterns from functional Magnetic Resonance Images (fMRI) datasets remains challenging in rapid-event designs due to the inherent delay of blood oxygen level-dependent (BOLD) signal. The general linear model (GLM) allows to estimate
Eickenberg, Michael +3 more
core +3 more sources
Sparse Estimation of Generalized Linear Models (GLM) via Approximated Information Criteria [PDF]
Statistica Sinica, 2018 23 pages, 3 ...
Su, Xiaogang +4 more
openaire +2 more sources
Analysis of variance components for genetic markers with unphased genotypes
Frontiers in Genetics, 2016 An ANOVA type general multi-allele (GMA) model was proposed in cite{Wang2014} on analysis of variance components for quantitative trait loci or genetic markers with phased or unphased genotypes.
Tao Wang
doaj +1 more source