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JSTOR DailyLíon na míonna: 8

Learning Causal Bayesian Network Structures from Experimental Data

We propose a method for the computational inference of directed acyclic graphical structures given data from experimental interventions. Order-space Markov chain Monte Carlo, equi-energy sampling, ...
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Bayesian Function-on-Function Regression for Multilevel Functional Data

Mark J. Meyer, Brent A. Coull, Francesco Versace, Paul Cinciripini, Jeffrey S. Morris, Bayesian Function-on-Function Regression for Multilevel Functional Data ...
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Bayesian Hierarchical Network Model for Forecasting Daily River Stage ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...