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On computations with causal compositional models
Kybernetika, Tome 51 (2015) no. 3, pp. 525-539 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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The knowledge of causal relations provides a possibility to perform predictions and helps to decide about the most reasonable actions aiming at the desired objectives. Although the causal reasoning appears to be natural for the human thinking, most of the traditional statistical methods fail to address this issue. One of the well-known methodologies correctly representing the relations of cause and effect is Pearl's causality approach. The paper brings an alternative, purely algebraic methodology of causal compositional models. It presents the properties of operator of composition, on which a general methodology is based that makes it possible to evaluate the causal effects of some external action. The proposed methodology is applied to four illustrative examples. They illustrate that the effect of intervention can in some cases be evaluated even when the model contains latent (unobservable) variables.
The knowledge of causal relations provides a possibility to perform predictions and helps to decide about the most reasonable actions aiming at the desired objectives. Although the causal reasoning appears to be natural for the human thinking, most of the traditional statistical methods fail to address this issue. One of the well-known methodologies correctly representing the relations of cause and effect is Pearl's causality approach. The paper brings an alternative, purely algebraic methodology of causal compositional models. It presents the properties of operator of composition, on which a general methodology is based that makes it possible to evaluate the causal effects of some external action. The proposed methodology is applied to four illustrative examples. They illustrate that the effect of intervention can in some cases be evaluated even when the model contains latent (unobservable) variables.
DOI : 10.14736/kyb-2015-3-0525
Classification : 62H99, 65C50, 68T30, 97K50
Keywords: causal model; conditioning; intervention; extension 
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     title = {On computations with causal compositional models},
     journal = {Kybernetika},
     pages = {525--539},
     year = {2015},
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     language = {en},
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Bína, Vladislav; Jiroušek, Radim. On computations with causal compositional models. Kybernetika, Tome 51 (2015) no. 3, pp. 525-539. doi: 10.14736/kyb-2015-3-0525

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