Results 11 to 20 of about 212,453 (210)
Decision-theoretic foundations for statistical causality: Response to Shpitser
I thank Ilya Shpitser for his comments on my article, and discuss the use of models with restricted interventions.
Dawid Philip
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Graphical modelling of multivariate time series [PDF]
We introduce graphical time series models for the analysis of dynamic relationships among variables in multivariate time series. The modelling approach is based on the notion of strong Granger causality and can be applied to time series with non-linear ...
Eichler, Michael
core +6 more sources
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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Chaoticity for multi-class systems and exchangeability within classes [PDF]
Classical results for exchangeable systems of random variables are extended to multi-class systems satisfying a natural partial exchangeability assumption.
Graham, Carl
core +5 more sources
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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On operator-valued monotone independence [PDF]
We investigate operator-valued monotone independence, a noncommutative version of independence for conditional expectation. First we introduce operator-valued monotone cumulants to clarify the whole theory and show the moment-cumulant formula.
Hasebe, Takahiro, Saigo, Hayato
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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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