Welcome to Statistics at Purdue

News and Events

  • Announcements
  • The following courses will be offered in Fall 2009. Information will be updated as it becomes available.
    • STAT 490M Introduction to Computing With Data, MARK WARD, MWF 9:30 AM
    • STAT 549 An Applied Intro. to QTL Mapping in Experimental Populations, REBECCA DOERGE, TTH 1:30 PM
    • STAT 598C Statistical Methods For Bioinformatics and Computational Biology, OLGA VITEK, TTH 12:00-1:15 PM
    • STAT 598J Convex Analysis, S. V. N. VISHWANATHAN, TTH 12:00-1:15 PM
    • STAT 598L Probabilistic Graphical Models, SERGEY KIRSHNER, MWF 11:30 AM
    • STAT 598N Stat. Machine Learning, YUAN (ALAN) QI, TTH 3:00-4:15
    • STAT 598T Statistical Analysis of Massive Data Streams, CHUANHAI LIU, TTH 9:00 -10:15 AM
    • STAT 598U Trends, Extremes, and Predictability, ALEXANDER GLUHOVSKY, TTH 10:30-11:45 AM
    • STAT 598Y Statistical Learning Theory, JIAN ZHANG, TTH 10:30-11:45 AM
    • STAT 695C Bayesian Statistics: Foundations, Methods, Modeling, Inference, Computing, and Applications, WILLIAM CLEVELAND, TTH 1:30-2:45 PM
    • STAT 695S Survival Analysis, JAYANTA GHOSH, TTH 3:00-4:15 PM
U.S. News Best Graduate School Badge

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.

Department of Statistics to Host Purdue University Friends and Alumni Reception

Don't miss the Purdue University Friends and Alumni reception hosted by the Department of Statistics to be held during the 2009 Joint Statistical Meetings in Washington, DC on Sunday, August 2, 2009 at 6:30pm. Click here for more details.

Welcome Lingsong Zhang

Lingsong Zhang
Lingsong Zhang joined the Department of Statistics on July 1, 2009 as an Assistant Professor. He has a joint appointment with the Regenstrief Center for Healthcare Engineering. Zhang received his Ph.D. in Statistics from the University of North Carolina, Chapel Hill in 2007. Prior to coming to Purdue University, Zhang was a research fellow in the Department of Biostatistics, School of Public Health, Harvard University. Zhang is interested in developing statistical methods for real applications, and exploring their theoretical and empirical properties. His major research area is high dimensional inference, with a focus on machine learning methods, functional data analysis, multiscale methods, nonparametric methods, time series analysis, and statistical graphics. Applications of his research include environmental health data sets, proteomic data sets, gene-microarray data sets, Internet traffic data sets, and chemometrics data sets. Zhang will be teaching STAT 50300, Statistical Methods for Biology, in fall 2009.

Levine and Zhang Earn Promotions in 2009

Congratulations to Dr. Michael (Mihails) Levine and Dr. Tonglin Zhang on their recent promotions to Associate Professor. Their promotions will be effective on August 17, 2009, the start of the 2009-2010 academic year.

Professor Michael (Mihails) Levine Michael Levine
Dr. Michael Levine received his Ph.D. in statistics from the University of Pennsylvania in 2003 and joined the Department of Statistics in the same year.

The main focus of Levine's research is on statistical methodology. His research is mostly concentrated in nonparametric function estimation problems (such as density estimation and nonparametric regression-related problems) and nonlinear time series. The models considered in those areas are very important in practice since traditional parametric assumptions are often either irrelevant or hard to justify in many practically important areas, for example, financial data (stock returns/currency exchange rates), flood data from hydrology, climate data from the earth and atmospheric science and many others. The results obtained by Levine help to provide accurate forecasts of future events that are often not achievable using more traditional methods. He is also interested in nonparametric statistical decision theory which becomes important when the use of the above mentioned nonparametric estimation procedures need to be justified. His work in statistical theory and applications is supported by the National Science Foundation (NSF).

Levine helps to coordinate the Computational Finance Program at Purdue University. The program was created to offer graduate students an opportunity to earn Master's and Ph.D. degrees with an emphasis on quantitative finance. The program consists of Purdue faculty members with academic and research interests in cutting-edge investment science.

Professor Tonglin ZhangTonglin Zhang
Dr. Tonglin Zhang received his Ph.D. in statistics from the University of Michigan in 2002, and joined the Department of Statistics at Purdue University in the same year.

Zhang's research covers both theoretical statistics and applied statistics. Two focused areas of his research are restricted parameter problems and spatial statistics. His work on restricted parameter problems stems from his graduate work at the University of Michigan and has expanded to include work that addresses important questions in astronomy and geophysics. His research in spatial statistics represents a relatively new and highly productive research area and has expanded to include work that addresses important problems in public health, criminology, ecology, earth and environmental sciences, and the defense of biochemical and nuclear terrorism. Zhang currently has two NSF supported projects in spatial statistics.

In 2007, Zhang received the Outstanding Assistant Professor Undergraduate Teaching Award.

PURE goes statewide as INDURE!

INDUREThe 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, and 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:

Professor Tom Sellke

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.


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