Results 11 to 20 of about 13,834 (194)
Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates. [PDF]
Functional connectivity concerns the correlated activity between neuronal populations in spatially segregated regions of the brain, which may be studied using functional magnetic resonance imaging (fMRI).
Max Hinne +3 more
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Sensor technologies allow ethologists to continuously monitor the behaviors of large numbers of animals over extended periods of time. This creates new opportunities to study livestock behavior in commercial settings, but also new methodological ...
Catherine McVey +4 more
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BackgroundAcross college campuses, the prevalence of clinically relevant depression or anxiety is affecting more than 27% of the college population at some point between entry to college and graduation.
Huckins, Jeremy F +9 more
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Determinants of Sustainability Reporting in the Romanian Banking Sector [PDF]
This paper investigates the determinants of Sustainable Development Goals (SDG) reporting in the Romanian banking sector over an extended time horizon (2017-2023), employing a mixed-method approach that combines content analysis, fixed-effects regression,
Mihaela CUREA +2 more
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randomLCA: An R Package for Latent Class with Random Effects Analysis
Latent class is a method for classifying subjects, originally based on binary outcome data but now extended to other data types. A major difficulty with the use of latent class models is the presence of heterogeneity of the outcome probabilities within ...
Ken J. Beath
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A max-stable process model for rainfall extremes at different accumulation durations
A common existing approach to modeling rainfall extremes employs a spatial Bayesian hierarchical model, where latent Gaussian processes are specified on distributional parameters in order to pool spatial information.
Alec G. Stephenson +2 more
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Neural somas perform most of the metabolic activities in the neuron and support the chemical process that generates the basic elements of the synapses, and consequently the brain activity.
Sergio Luengo-Sanchez +2 more
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Bayesian Covariance Structure Modeling of Responses and Process Data
A novel Bayesian modeling framework for response accuracy (RA), response times (RTs) and other process data is proposed. In a Bayesian covariance structure modeling approach, nested and crossed dependences within test-taker data (e.g., within a testlet ...
Konrad Klotzke, Jean-Paul Fox
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This article surveys the variety of ways in which a directed acyclic graph (DAG) can be used to represent a problem of probabilistic causality. For each of these ways, we describe the relevant formal or informal semantics governing that representation ...
Philip Dawid
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A local independence number condition for n-extendable graphs
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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