In my introductory Bayes' theorem post, I used a "rainy day" example to show how information about one event can change the probability of another. In particular, how seeing rainy weather patterns (like dark clouds) increases the … [Continue reading]
This is an update to the main post from September 20. Please click on the link for a detailed description of the election process and how we model it to make the predictions you see below. Click here to go back to the daily predictions page. You … [Continue reading]
This is an update to the main post from two weeks ago. Please click on the link for a detailed description of the election process and how we model it to make the predictions you see below. You can click on the date above the map to check the … [Continue reading]
November 7 UPDATE: click here to view our final update post where we give our latest analyses just a day before the election! Click here to go to our daily predictions page. In the first 10 posts I mostly concentrated on theoretical topics. But … [Continue reading]
Imagine you obtained some data from a particular collection of things. It could be the heights of individuals within a group of people, the weights of cats in a clowder, the number of petals in a bouquet of flowers, and so on. Such collections are … [Continue reading]
Combinatorics is a branch of mathematics with applications in many fields, such as physics, economics, computer programming, and many others. In particular, probability theory is one of the fields that makes heavy use of combinatorics in a wide … [Continue reading]