### 36-835, Paper of the Week

As threatened, I'll post links to the paper being discussed each week in the
statistical modeling seminar. This will happen
after the discussion, and my own brief comments here will also not be shared
with the students beforehand. This should be an RSS feed
for this page.

- Leo Breiman, "Statistical Modeling: The Two Cultures",
Statistical
Science
**16** (2001): 199--231

*Comment*: I remember being very excited by this paper when it came
out. The students were less taken with it — "*Of course* you use
cross-validation to check predictive performance, why does he feel like he has
to say that?" In retrospect, I would say that what Breiman calls "data models"
are very rarely serious scientific models of the data-generating mechanism, but
more "algorithmic models" of a pre-computer age...
- Sarat C. Dass and Mingfei Li, "Hierarchical mixture models for assessing fingerprint individuality", Annals of Applied Statistics
**3** (2009): 1448--1466

*Comment*: This is interesting, but the big problem is that they did
absolutely nothing to convince me that their model works.
(Cf.) Consequently, why should I
think that their estimates of false-identification probabilities are even
roughly right? (Also, why not model a spatial point process as a spatial point
process?)

Corrupting the Young;
Enigmas of Chance

Posted at September 07, 2010 16:49 | permanent link