CSI 991

Seminar in Computational Statistics:

Recent articles in computational learning and computational statistics

Fall, 2013

Fridays 3:00pm or 4:00pm -- 5:00pm
Music Theater Building 1008

CSI 991 Section 004

Contact:
jgentle@gmu.edu

The seminar will be conducted in the form of a journal club.

The objective is three-fold:

to be exposed to summaries of a sampling of the recent literature,
to work carefully through two examples of recent research, possibly in the area in which the student will do dissertation research.
to gain experience in making a research presentation.

Students who are enrolled in the class will be required to make two 30-to-45-minute presentations, each summarizing a recent article in computational learning or computational statistics. ("Recent" means 2005 or later.)

A brief written report is also required. This can be in the form of straight text (5 or 6 pages) or a copy of the presentation slides.

The presentations can be simple summaries, or, preferably, critical reviews citing other work or possible approaches. Monte Carlo studies or applications on sample datasets would be nice.

Make sure that work that is supposed to be yours is indeed your own.

With cut-and-paste capabilities on webpages, it is easy to plagiarize.
Sometimes it is even accidental, because it results from legitimate note-taking; nevertheless, it is plagiarism and it is illegal.
Whenever you include a picture, graphic, or text from another source, give a clear citation of the previous work.

Schedule

August 30 3:00pm
Organization and plans.
Find online articles at http://library.gmu.edu/
Click on "E-Journals" and then enter keyword such as
"machine learning", "statistical learning", "computational statistics", etc. or else enter the name of a specific journal.
Assignment due September 6: Select an article for your first presentation. Email bibliographic info (author, year, title, journal/proceedings name, page numbers) to instructor.
September 6 4:00pm (and all subsequent meetings will be at 4:00pm)
Presentation by Vadim Y. Bichutskiy.
Bichutskiy, Vadim Y. (2011) "A pooled two-sample median test based on density estimation," Journal of Modern Applied Statistical Methods 10, Issue 2, Article 28.
September 13
Presentation by John Riddles.
Maitra, R., and J. J. Riddles (2010). "Synthetic magnetic resonance imaging revisited," IEEE Transactions on Medical Imaging 29, 895--902.
September 20
Presentation by Andrew Sharp.
Hapfelmeier, A., and K. Ulm (2013). "A new variable selection approach using random forests," Computational Statistics And Data Analysis 60, 50--69.
September 27
Presentation Firdu Bati.
Song, Qinbao, Jingjie Ni, and Guarngtao Wang (2013). "A fast clustering-based feature subset selection algorithm for high-dimensional data," IEEE Transactions on Knowledge and Data Engineering 25, 1--14.
Assignment due October 4: Select an article for your second presentation. Email bibliographic info (author, year, title, journal/proceedings name, page numbers) to instructor.
October 4
No meeting.
October 11
Presentation by Ed Herranz.
Krishnakumar, J. and D. Neto (2012). "Testing uncovered interest rate parity and term structure using a three-regime threshold unit root VECM: An application to the Swiss ‘Isle’ of interest rates", Oxford Bulletin of Economics and Statistics 74, 180–-202.
October 18
Presentation by John Riddles.
Simon, N., J. Friedman, T. Hastie, and R. Tibshirani (2011). "Regularization paths for Cox’s proportional hazards model via coordinate descent," Journal of Statistical Software 39(5), 1--13.
October 25
Presentation by Andrew Sharp.
Dernoncourt, David, Blaise Hanczar, and Jean-Daniel Zucker (2013). "Analysis of feature selection stability on high dimension and small sample data," Computational Statistics And Data Analysis. (To appear.)
November 1
Presentation Firdu Bati.
Yildiz, Olcay Taner (2013). "Omnivariate Rule Induction Using a Novel Pairwise Statistical Test," IEEE Transaction on Knowledge and Data Engineering 25, 2105--2118.
November 8
Presentation by Ed Herranz.
Yentes, Jennifer M., Nathaniel Hunt, Kendra K. Schmid, Jeffrey P. Kaipust, Denise McGrath, and Nicholas Stergiou (2013). "The appropriate use of approximate entropy and sample entropy with short data sets," Annals of Biomedical Engineering 41, 349--365.
November 15
Presentation by Vadim Y. Bichutskiy.
Yan, D., A. Chen, and M. I. Jordan (2013), "Cluster forests", Computational Statistics and Data Analysis 66, 178--192.
November 22
No meeting.
November 29
No meeting.
December 6
Presentation by Greg Morneault.
Chang, Yi-Ping, Ming-Chin Hung, and Yi-Chen Ko (2011), "A multinomial tree model for pricing credit default swap options", Computational Statistics 26, 95--120.