In this paper we examine in detail the algorithm of Simon [1953], called the causal ordering algorithm (COA), used for constructing the “causal ordering ” of a system given a complete specification of the system in terms of a set of “structural ” equa-tions that govern the variables in the system. This algorithm constructs a graphical characterization of the model in the form of a directed cluster graph. Simon argued in [Simon, 1953] and subsequent papers that a graph so generated explicates causal structure among variables in the model. We further formalize this claim and prove a theorem which justifies it. In particular, we prove that given a set of equations E satisfying certain conditions, any directed causal graph that is imposed on th...
Abstract: "This paper is concerned with the problem of making causal inferences from observational d...
In this article I tackle the question of how the hierarchical order of mechanisms can be represented...
AbstractThe causal graph is a directed graph that describes the variable dependencies present in a p...
AbstractIn this paper we examine in detail the algorithm of Simon [H.A. Simon, Causal ordering and i...
We propose a framework for building graphical decision models from individual causal mechanisms. Our...
This paper describes a computational approach, based on the theory of causal ordering, for inferring...
Causal discovery, the learning of causality in a data mining scenario, has been of strong scientific...
Control in distributed systems is mainly introduced to reduce non-determinism. This non-determinism ...
Constant improvement of computing facilities creates a trend to build always larger macroeconomic mo...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
It is shown that if equilibrium conditions are included among the components of standard economic mo...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
International audienceFor many data analysis tasks, obtaining the causal relationships between inter...
The technique of causal ordering is used to study causal and probabilistic aspects implied by model ...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
Abstract: "This paper is concerned with the problem of making causal inferences from observational d...
In this article I tackle the question of how the hierarchical order of mechanisms can be represented...
AbstractThe causal graph is a directed graph that describes the variable dependencies present in a p...
AbstractIn this paper we examine in detail the algorithm of Simon [H.A. Simon, Causal ordering and i...
We propose a framework for building graphical decision models from individual causal mechanisms. Our...
This paper describes a computational approach, based on the theory of causal ordering, for inferring...
Causal discovery, the learning of causality in a data mining scenario, has been of strong scientific...
Control in distributed systems is mainly introduced to reduce non-determinism. This non-determinism ...
Constant improvement of computing facilities creates a trend to build always larger macroeconomic mo...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
It is shown that if equilibrium conditions are included among the components of standard economic mo...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
International audienceFor many data analysis tasks, obtaining the causal relationships between inter...
The technique of causal ordering is used to study causal and probabilistic aspects implied by model ...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
Abstract: "This paper is concerned with the problem of making causal inferences from observational d...
In this article I tackle the question of how the hierarchical order of mechanisms can be represented...
AbstractThe causal graph is a directed graph that describes the variable dependencies present in a p...