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Research Workshop in Applied Statistics
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Please join us this Wednesday @ noon at CBRSS,
the Center for Basic Research in the Social Sciences,
34 Kirkland Street, Rm 22, for
"Bayesian Analysis of Single Molecule Experimental Data",
presented by Samuel Kou.
Samuel Kou is Assistant Professor of Statistics at Harvard.
His research interests include stochastic modeling in natural and social
sciences, inference about stochastic models, statistical analysis of single
molecule experiments, nonparametric methods, model selection and empirical
Bayes, and Monte Carlo methods.
His abstract is available at
http://www.courses.fas.harvard.edu/~gov3009/Calendar/Kou.tlkt
As always, lunch will be provided.
Contact information, the current schedule, and previous presentations may be
found at the course web site:
http://www.courses.fas.harvard.edu/~gov3009/
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The Research Workshop in Applied Statistics is a forum for graduate
students, faculty, and visiting scholars to present and discuss work
in progress and exchange ideas. It is intended as a tour of Harvard's
statistical innovations and applications with weekly stops in
different disciplines such as economics, epidemiology, medicine,
political science, psychology, public policy, public health, sociology
and statistics. The topics of papers presented in previous years
included missing data, survey analysis, Bayesian simulation, sample
selection, and models for election and portfolio choice. Faculty and
student participants in the workshop present their current projects,
and guest speakers also give occasional presentations. The workshop
provides an excellent opportunity for informal interaction between
graduate students and faculty from a variety of disciplines. Course
credit is available for students as either an upper-level Government
or Sociology class. Lunch is provided.
If you are interested, note that all events are held at noon, in Room 22,
Center for Basic Research in Social Sciences (CBRSS, 34 Kirkland St., this is
the yellow building across the street from William James Hall).
Contact information and previous presentations may be found at the course web
site:
http://www.courses.fas.harvard.edu/~gov3009/
To join the gov3009 mailing list, send e-mail to
gov3009-l-request(a)fas.harvard.edu with the following text message:
subscribe
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Questions? Please contact the workshop coordinator, Alexis Diamond, at
<adiamond(a)fas.harvard.edu>