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The logic of probabilistic language (view source)
Revision as of 18:17, 25 August 2021
, 3 years ago→Second Clinical Approach
In order to take advantage of the information provided by this dataset, the concept of partition of causal relevance is introduced:
In order to take advantage of the information provided by this dataset, the concept of partition of causal relevance is introduced:
====The partition of causal relevance====
:Always be <math>n</math> the number of people we have to conduct the analyses upon, if we divide (based on certain conditions as explained below) this group into <math>k</math> subsets <math>C_i</math> with <math>i=1,2,\dots,k</math>, a cluster is created that is called a "partition set" <math>\pi</math>:
:Always be <math>n</math> the number of people we have to conduct the analyses upon, if we divide (based on certain conditions as explained below) this group into <math>k</math> subsets <math>C_i</math> with <math>i=1,2,\dots,k</math>, a cluster is created that is called a "partition set" <math>\pi</math>:
:<math>\pi = \{C_1, C_2,\dots,C_k \} \qquad \qquad \text{with} \qquad \qquad C_i \subset n , </math>
:<math>\pi = \{C_1, C_2,\dots,C_k \} \qquad \qquad \text{with} \qquad \qquad C_i \subset n , </math>
where with the symbolism <math>C_i \subset n </math> it indicates that the subclass <math>C_i</math> is contained in <math>n</math>.
where with the symbolism <math>C_i \subset n </math> it indicates that the subclass <math>C_i</math> is contained in <math>n</math>.