Welcome to Statistics at Purdue
News and Events
- Announcements
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The following courses will be offered in Fall 2008. Information will be updated as it becomes available.
- STAT 506 Statistical Programming and Data Management, SHANG XUE, W 6:00-8:50 PM
- STAT 598A Analysis of Massive Dependent Data , HAO ZHANG, TTH 3:00-4:15 PM
- STAT 598U Statistics of Extremes, ALEX GLUHOVSKY, TTH 1:30-2:45 PM
- STAT 695D Introduction to Data Visualization, WILLIAM CLEVELAND, TTH 1:30-2:45 PM
- STAT 695F Malliavin Calculus, FREDERI VIENS, M 4:30-7:20 PM
- STAT 695G Objective Bayesian Analysis, JAYANTA GHOSH, TTH 9:00-10:15 AM
- STAT 695S Statistical Inference and Belief Functions, CHUANHAI LIU, TTH 1:30-2:45 PM
- Departmental News
- Welcome New Faculty, Visitors, and Students
- Congratulations August 2008 Graduates!
- Alumni and Friends Gather at Joint Statistical Meetings
- Bock Selected to Serve on NISS Board of Trustees
- Doerge Appointed Interim Head for 2008 - 2009
- STATCOM Network Newsletter Highlights Student Pro Bono Community Work
- Viens Earns Promotion in 2008
- McCabe Appointed to Institute of Medicine Committee
- New Feature: Student Profiles
- Si Granted CAREER Award
- Vitek Awarded Purdue's Teaching for Tomorrow Award
- Neville in AI's 10 to Watch
Department of Statistics Graduate Program Ranks in Top Ten
In the U.S. News & World Reports America's Best Graduate Schools 2009 issue, the Department of Statistics graduate program ranks in the top 10 of graduate programs in Statistics.Research Profile: Michael Levine - Developing nonparametric volatility models in financial econometrics
Michael Levine One of the reasons volatility modeling is important is because it allows researchers to estimate the Value at Risk (VaR) for anybody holding a particular financial asset. VaR is an estimate of the amount by which the value of the holding in a given financial asset could decline due to general market movements during a given holding period [1]. Clearly, this measure can be used to assess the market risk of an asset portfolio.
Modelling of financial volatility must take into account some commonly observed empirical facts. The most important of them are the volatility clustering and the leverage effect. The volatility clustering means that the volatility of an asset usually alternates between periods of high oscillation and periods of relative calm; both of these periods tend to have a noticeable time length. In other words, it is almost unheard of to see sudden jumps of volatility that subside very quickly – highly volatile markets usually last for an extended period of time. The leverage means that the volatility changes more appreciably in response to "bad news" (large negative movements in the price of an asset) than to "good news" (large positive movements in the price of an asset). Every attempt to model the volatility of financial data should try to produce a model that is capable of explaining these two important empirical facts.
More...
Andrea Rau and Doug Baumann Appointed Members of ASA Committee on Student Pro Bono Statistics
Andrea Rau Doug Baumann
Rau and Baumann are joined by six other student members on the committee, including Jonathan Hobbs of Iowa State University, Justin Gross of Carnegie Mellon, Xiaobi Huang of the University of Michigan, David Resendes of the University of Massachusetts, Meredith Wroblewski of the University of Illinois at Chicago, and Diya Zhang of Northwestern University. Although the regular membership of the pro bono statistics committee is made up of students, several advisory members have also been appointed to provide mentoring. Three initial advisory members for the committee are Fritz Scheuren of National Opinion Research Center (NORC) at the University of Chicago, David Banks of Duke University, and George McCabe of Purdue University.
For more information on the Committee on Student Pro Bono Statistics, visit the committee web page.
PURE goes statewide as INDURE!
The Purdue University Research Expertise database (PURE) is now the Indiana Database for University Research Expertise (INDURE)! With this tool, you can search for research expertise, intellectual property, anad ongoing sponsored research projects at academic institutions across the state of Indiana. By entering relevant keywords, or alternatively using a simple navigation mechanism you can find Indiana faculty by specifying fields of study.
Statistics at Purdue
Our commitment to core areas of research in Mathematical, Methodological, and Applied Statistics, and Probability supports and enhances our focus areas of research in:
- Bioinformatics - Our work in this area started in 1995. Interdisciplinary collaborations with agronomists, biologists, and computer scientists are essential components.
- Climate Change and Computational Science - statistical models of Climate Change; long term collaborations with Earth and Atmospheric Sciences.
- Computational Finance - Cutting edge investment science; collaborations with Computer Science, Economics, Industrial Engineering, Management, and Mathematics.
- Statistics and Computer Science: Mining, Learning, Visualization and Massive Data - Statistics and Computer Science are natural partners today, and bringing together knowledge from the two disciplines holds great promise for the future of learning from data.
- Science Education - foundation developed by distinguished Professor for the scholarship of teaching.
Our STATCOM program is a community service program directed and staffed by graduate students in the Department.
The Department's Statisical Consulting Service offers free statistical software and design consultations to University researchers. Students and staff participate in Purdue's Technical Assistance Program (TAP) which helps Indiana's businesses and industries implement new technologies.
All of our work is supported by our state of the art facilities enabling our faculty, staff and students to realize their full potential.
Questions or comments? Please send e-mail to webmaster@stat.purdue.edu

