chain event graph
The Dynamic Chain Event Graph
... the Chain Event Graph (CEG) (Smith and Anderson (2008); Freeman and Smith (2011a); Thwaites (2013); Barclay et ...the graph, see Example 1 ...
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The dynamic chain event graph
... Of course, the Dynamic Bayesian Network (DBN) provides a well-established graphical framework for discrete processes that develop over time: see Dabrowski and de Villiers (2015), Rubio et al. (2014), Marini et al. ...
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A new family of non local priors for chain event graph model selection
... Abstract. Chain Event Graphs (CEGs) are a rich and provenly useful class of graphical ...Keywords: chain event graph, Bayesian model selection, non-local prior, moment prior, discrete ...
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Refining a Bayesian network using a chain event graph
... The Chain Event Graph (CEG) provides a richer class of models which incorporates these types of dependence structures as well as retaining the property that conclusions can be easily read back to the ...
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Chain event graph MAP model selection
... In this paper we demonstrate how this fa torization of the joint mass fun tion over a given event spa e an also be used as a framework for sear hing over a spa e of promising andidate CE[r] ...
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The causal manipulation and Bayesian estimation of chain event graphs
... the chain event graph (CEG) models, that generalises the class of dis- crete BN ...CEG graph, leading to theorems analogous to the Backdoor theorem for the ...
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The causal manipulation of chain event graphs
... the chain event graph (CEG) models, that generalises the class of discrete BN ...CEG graph, leading to theorems analogous to the back-door theorem for the ...
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Modelling and reasoning with chain event graphs in health studies
... the Chain Event Graph [Smith and Anderson, ...the graph, called the ‘stage’ partition of the ...its graph, giving therefore a very di↵erent, yet still expressive representation of a ...
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Bayesian representations using chain event graphs
... Bayesian networks (BNs) are useful for coding conditional inde- pendence statements between a given set of measurement variables. On the other hand, event trees (ETs) are convenient for represent- ing asymmetric ...
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Propagation using chain event graphs
... A Chain Event Graph CEG is a graphi al model whi h is designed to embody onditional independen ies in problems whose state spa es are highly asymmetri and do not admit a natural produ t [r] ...
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Separation theorems for chain event graphs
... In this paper we prove separation theorems asso iated with a new oloured graphi al model alled a Chain Event Graph CEG.. The lass of CEG models generalises the lass of..[r] ...
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Bayesian MAP model selection of chain event graphs
... of chain event graph models is a generalisation of the class of discrete Bayesian net- works, retaining most of the structural advantages of the Bayesian network for model interrogation, propagation ...
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Causal analysis with chain event graphs
... Ba k Door theorem, Bayesian Network, ausal manipulation, Chain Event Graph, onditional independen e, event tree, graphi al model... 1 Causal Manipulation Mu h re ent work in the..[r] ...
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Learning Through Chain Event Graphs: The Role of Maternal Factors in Childhood Type I Diabetes
... Chain event graphs are a graphical representation of a statistical model derived from event trees, previously applied to cohort studies but not to case-control ...the chain event ...
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Detecting Multiple Facets of an Event using Graph Based Unsupervised Methods
... We propose a new unsupervised method for topic detection that automatically iden- tifies the different facets of an event. We use pointwise Kullback-Leibler divergence along with the Jaccard coefficient to build a ...
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Volume 2: Petri Nets and Graph Transformations
... type graph T is statically fixed and cannot change at ...larger graph that is (isomorphic to) their disjoint union modulo the collapsing of some common ...(DPO graph grammar) A (T -typed ...
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An Overview on Event Evolution Technique
... Due to the popularity of the Internet, most news stories have electronic versions published on newswires. Retrieving news of the same topic from multiple sources and keeping information updated becomes more convenient ...
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Modeling Biological Processes for Reading Comprehension
... Figure 1: An overview of our reading comprehension system. First, we predict a structure from the input paragraph (the top right portion shows a partial structure skipping some arguments for brevity). Circles denote ...
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An empirical study of collaboration methods for CEP based on algorithmic trading
... complex event processing ...An event is a pair (p, t) consisting of a payload p that is some information about a real or virtual event and a timestamp t that specifies the instant of time when the ...
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Detection of Isomorphism in Kinematic Chains: A Review on Methods Applied
... Method based on artificial immune algorithm: Zeng et al. (2008) proposed an artificial immune algorithm to search the optimal solution for mechanism / kinematic chain isomorphism identification. AIS have recently ...
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