Applied Probability Lecture 2. Rajeev Surati. Agenda. Independence Bayes Theorem Introduction to Probability Mass Functions. Independence. Simply put P(A|B) = P(A) This implies that P(AB)=P(A|B)P(B)=P(A) P(B) Interpretation in Event space: . A. B. Bayes Theorem.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Applied Probability Lecture 2
probability that the experimental value of a random variable x obtained on a performance of the experiment is equal to
same story value of pmf. Can extend up to more dimensions which then allows for conditional pmfs