Please review readings before lectures. Supplemental material may be posted as well.
Please see the Background Readings page for assignments.
Dan's Intro Lecture
Draft intro to stat learning primer
Inference in Historical Processes
Here is a link to a page with various background readings -- I'll be talking about some of this material, watch the wiki for days/times
Iain's Lecture Slides
For the two lectures on "Physics of Reasoning" -- all the papers, as well as scans of the notes, are available at this page. Feel free to e-mail me at firstname.lastname@example.org
(simon's blog page with more tasty links is at http://tuvalu.santafe.edu/~simon/ )
Steve Guerin and I will present modeling with NetLogo. It will have two parts, one a self-paced wiki tutorial, the second a set of real world examples of modeling we've used professionally.
Read the first page of the tutorial. Then (attempt!) to download, install, and look at the Model Library.
1) -- models and link prediction in large social networks:
2) -- tracking information diffusion, finding influencers and
detecting disease outbreaks in networks
3) -- models of networks with positive and negative ties
Data mining and statistical learning lecture notes
Chaos, complexity and inference lecture notes
CSSS lecture slides: