Welcome to the home page of the conference on Nonparametric Statistics and Mixture Models: Past, Present, and Future, hosted by the Department of Statistics on Penn State’s University Park campus, in State College, Pennsylvania.
To review slides of some of the talks provided or to see photos from the Nonparametric Statistics and Mixture Models Conference, visit http://www.stat.psu.edu/~dhunter/NPMMconf/.
Overview
The Department of Statistics at Penn State will celebrate its fortieth anniversary in May 2008. To celebrate the occasion, the department will hold a two-day conference, May 23–24, 2008, on the topics of mixture models and nonparametric statistics. Professors, postdoctoral scholars, and graduate students in statistics or biostatistics at universities or government laboratories are urged to attend.
Regarding the development of statistics over the past 100 years, it is noteworthy that the fields of nonparametric statistics and mixture models have found applications in areas far removed from their initial impetuses and have motivated theoretical developments and constructs quite distinct from those originally perceived by the initiators of these two subjects. The conference will highlight the myriad applications and theoretical principles that have risen to the forefront of these fields during the twentieth century and up to the present.
The conference participants will explore indicators of future developments, thereby providing research problems for graduate students, postdoctoral associates, and junior faculty who are interested in research in these areas. The combination of statistical theory, methods, applications, and problems to be explored during the conference are expected to culminate in a wide range of scientific research opportunities in today's golden age of information analysis through statistical methods.
At the end of the 2007–08 academic year Professor Thomas Hettmansperger will retire from the Penn State statistics faculty
after forty-one years of service. To celebrate this bittersweet occasion, the conference will highlight Tom's stellar academic and administrative contributions to the department, the
University, and the U.S. and international statistical communities. We expect to host at the conference many of Tom's students, research collaborators, and admirers. All researchers
are warmly invited to attend the conference. To see pictures of Tom, his students, his colleagues, and others, please click here.
program of the Eberly College of Science
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