Exercises for Tue Jan 30_亚博娱乐官网_亚博pt手机客户端登录

nils
2018-01-24T10:59:47.950Z
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www.uio.no

1. On Jan 23 I went through more of the "gentle introduction to Bayesian Nonparametrics" material, and did also discuss how to simulate from the Dirichlet process, which is one of the basic tools of the course. See my "com1a" R script. Next week there'll be more about the Dirichlet process and its properties, before and after data.

2. Exercises for Jan 30 are as follows.

(i) Go to the krigogfred dataset (on the webpage), comprising (x, z) for 95 horrible wars, from 1823 to the 2003, with x = time of onset and z = the number of battle deaths. This is the set of all wars with z \ge 1000. Now form the subset of 51 wars where z \ge 7061, where the power law tail behaviour is meant to hold. This means that v_i = \log z_i - \log 7061 are seen as Expo(\theta). Do a simple ML analysis to see the size of \theta, and also a logLprofile to detect the Cunen-Hjort Vietnam Hypothesis of Peace-and-War statistics (read the FocuStat blog, which Pinker liked so much, etc.). Di...