{"id":168169,"date":"2026-06-10T17:13:47","date_gmt":"2026-06-10T17:13:47","guid":{"rendered":"https:\/\/digitionary.com\/dictionnaire\/markov-model\/"},"modified":"2026-06-10T18:53:44","modified_gmt":"2026-06-10T18:53:44","slug":"markov-model","status":"publish","type":"dictionnaire-dico","link":"https:\/\/digitionary.com\/en\/dictionnaire\/markov-model\/","title":{"rendered":"Markov model"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Markov chain theory, developed in 1907 by the Russian mathematician Andrey Markov, provides a tool for modeling the probability of random events by considering them as interconnected elements, thus forming a kind of chain. This model, also called a finite-state model, is based on the idea that the elements in question are mutually dependent. We speak of a source of order 0 when all the elements are independent, of order 1 when the probability of an element occurring is linked to the preceding one, and so on for higher orders, where the elements are linked to those preceding them in the sequence.<\/p>\n","protected":false},"template":"","categories-glossary":[328],"class_list":["post-168169","dictionnaire-dico","type-dictionnaire-dico","status-publish","hentry","categories-glossary-marketing-tools-resources-references"],"_links":{"self":[{"href":"https:\/\/digitionary.com\/en\/wp-json\/wp\/v2\/dictionnaire-dico\/168169","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/digitionary.com\/en\/wp-json\/wp\/v2\/dictionnaire-dico"}],"about":[{"href":"https:\/\/digitionary.com\/en\/wp-json\/wp\/v2\/types\/dictionnaire-dico"}],"wp:attachment":[{"href":"https:\/\/digitionary.com\/en\/wp-json\/wp\/v2\/media?parent=168169"}],"wp:term":[{"taxonomy":"categories-glossary","embeddable":true,"href":"https:\/\/digitionary.com\/en\/wp-json\/wp\/v2\/categories-glossary?post=168169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}