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Joint likelihood calculation for intervention and observational data from a Gaussian Bayesian network
Gaussian Bayesian networks causal effects intervention data Fisher information
2013/6/13
Methodological development for the inference of gene regulatory networks from transcriptomic data is an active and important research area. Several approaches have been proposed to infer relationships...
Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs
Causal inference Interventions BIC Graphical model Maximum likelihood estimation Greedy equivalence search
2013/4/27
In many applications we have both observational and (randomized) interventional data. We propose a Gaussian likelihood framework for joint modeling of such different data-types, based on global parame...
A Bayesian approach to comparing theoretic models to observational data: A case study from solar flare physics
A Bayesian approach observational data solar flare physics
2011/3/25
Solar flares are large-scale releases of energy in the solar atmosphere, which are characterized by rapid changes in the hydrodynamic properties of plasma from the photosphere to the corona. Solar phy...
Interval Estimation for Messy Observational Data
Bayesian analysis bias confounding epidemiology
2010/10/14
We review some aspects of Bayesian and frequentist interval estimation, focusing first on their relative strengths and weaknesses when used in "clean" or "textbook" contexts. We then turn attention to...