NOTE that some clarifying text (about what kind of resources you should preferably seek) has been added below since Saturday morning.
As I mentioned in Seminar this past Monday, the reading for this coming Monday is
Chapters 1 (about the Financial Crisis) and 8 (about Bayesian probability) of The Signal and the Noise.
I know many of you already read Nate Silver's full book, but I thought I should remind you of which bits will be relevant on Monday here along with this assignment.
We will return this week & next to our "movie script," adding story line ideas as we move farther into how simulations and forecasting are used in modern life.
As you can tell from the reading and the syllabus, the focus on this coming Monday will be on Bayesian statistics.
Before you come to Seminar on Monday, please complete the three items below.
1. Watch this TED talk: https://www.ted.com/talks/kevin_slavin_how_algorithms_shape_our_world
2. Watch this Bayes rule animationCRITICAL THINKING - Fundamentals: Bayes' Theorem [HD]
3. Via online or library search, find one additional resource that you find especially helpful in explaining Bayesian statistics--preferably with regard to a particular field or scenario (e.g. medical choices, financial decisions, estimation in science, etc.), and write a clear paragraph on specifically why. Instead of posting your finds on predictionx.org, this week I request that you just upload here to Canvas, so that we can make sure people work independently for now--we will share in Seminar! (If you choose a book, you can upload the HOLLIS link.)
(FYI, here's some extra deep background (optional!): https://www.mathworks.com/videos/modeling-rational-turbulence-92898.html)