The Math of Numb3rs 103: Vector
Background Reading material from Cornell University and some typos in it:
In: "This is slightly different since nations are not generally continguous." The right word is "contiguous".
PRIZES. If you present the maths/stats content in the reading material that interests you or address a challenge posted on a previous episode during our 10 minutes discussion session (1700-1710 hours) then you will get a ``special lunch package''!
CHALLENGES for numb3rs 103:
- Try to make a probability model from the the following words in Background Reading material from Cornell University:
Suppose you draw a hundred points on a piece of paper. You pick one special point v and play connect the dots, draw edges from one vertex to the next. Then you start back at v and do it again. You repeat the process a dozen or so times. You then ask your friend to figure out which vertex you started from. This is essentially the problem the FBI and CDC are working on, to find the first infected person(s), only there are hundreds of thousands of people all linked together in the contaminated area, so the problem is vastly more complex.
Once we have a probability model we can conduct statistical inference in order to take an "educated guess" at the source of the epidemic.
- In this episode, the probability model for the epidemic that is underpinning a growing graph of the spread of the contagious disease can be a contact process. Such models belong to an area of probability theory called interacting particle systems. Try to find out more about this rich area of probability theory and share your understanding with us.
- Use the freely available Epidemic Simulation from Squeak EToys to see how a contagious disease spreads in a village. The challeng is to familiarize yourself with the simulator and present a demo for us! (hard-core interactive 3D simulators: Open Cobalt - drop by my office if you are a programmer psyched by the last link).
Maintained by Raazesh Sainudiin and mirrored by Paul Brouwers.
Last modified on Saturday, 03-Sep-2016 03:16:34 MST and served on Sunday, 17-Oct-2021 06:15:13 MST.