Stat 399: Transposable data, Professor Art Owen
This web page is a repository for handouts for Stat 399.
(taught Spring 1999/2000)
This course looks into statistical problems raised
by search engines, recommender systems, and
DNA microarrays.
The common element in these problems is that the data
are given as a matrix with two equally valid interpretations:
rows=observations, columns=variables, and vice versa.
We meet Wednesday at 3:15 in Sequoia Hall 200.
Course Announcement:
ps ,
pdf
Related research paper (plaid modeling)
Course materials
A course reader is now available from Stanford
University Bookstore. It costs $27.50 of
which $8.00 covers copyrights for various articles
and book parts copied therein.
April 5
Term Document Matrices:
ps ,
pdf ,
html
April 12
Non-negative matrix decomp (Kristofer Jennings' talk)
ps
Semi-definite matrix decomp (Tao Jiang's talk)
ps
April 26
Dyadic Data (Lingyu Chen's talk)
ps (7.5Mb)
Fuzzy Clustering (Jorge Picazo's talk)
ps (3.3Mb)
May 3
Correspondence analysis (Ji Zhu's talk)
ps
Rasch Models (Phil Beineke's talk)
ps
May 10
The Federal
Data David Marimont mentioned.
Get a
free copy
of the Nature issue with the Chromosome 21 article
May 24
Independent Component Analysis (Josh Stuart's talk)
ps (2.6Mb)
May 31
SVD based clustering (Alan Gous's talk)
ps
Plaid models (Textual part of Art Owen's talk)
ps
More useful links
Collaborative filtering:
Survey
Latent Class (Rasch) Model
FAQ
Weigend, Weiner, and Pedersen's Exploiting Hierarchy
paper
More of Andreas Weigend's
papers