{"action":"closed","issue":{"url":"https://api.github.com/repos/rlabbe/Kalman-and-Bayesian-Filters-in-Python/issues/6","labels_url":"https://api.github.com/repos/rlabbe/Kalman-and-Bayesian-Filters-in-Python/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/rlabbe/Kalman-and-Bayesian-Filters-in-Python/issues/6/comments","events_url":"https://api.github.com/repos/rlabbe/Kalman-and-Bayesian-Filters-in-Python/issues/6/events","html_url":"https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/issues/6","id":54275078,"number":6,"title":"Use 'process model' earlier in the book","user":{"login":"rlabbe","id":5308143,"avatar_url":"https://avatars.githubusercontent.com/u/5308143?v=3","gravatar_id":"","url":"https://api.github.com/users/rlabbe","html_url":"https://github.com/rlabbe","followers_url":"https://api.github.com/users/rlabbe/followers","following_url":"https://api.github.com/users/rlabbe/following{/other_user}","gists_url":"https://api.github.com/users/rlabbe/gists{/gist_id}","starred_url":"https://api.github.com/users/rlabbe/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rlabbe/subscriptions","organizations_url":"https://api.github.com/users/rlabbe/orgs","repos_url":"https://api.github.com/users/rlabbe/repos","events_url":"https://api.github.com/users/rlabbe/events{/privacy}","received_events_url":"https://api.github.com/users/rlabbe/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2015-01-14T02:00:12Z","updated_at":"2015-12-15T23:54:44Z","closed_at":"2015-12-15T23:54:44Z","body":"Early in the book I use 'state transtition function' everywhere. Which is a valid term, but it is not so clear maybe that this is just the process model. I do use 'process noise', so why not make the connection more obvious, especially since i mostly use process model later in the book. "}}