Weekly Calendar of Seminars, Talks, and Events
Department of Mathematics & Statistics
Bowling Green State University
Weekly Calendar of Seminars, Talks, and Events
Department of Mathematics & Statistics
Bowling Green State University
Week of February 1-5, 2010
Monday, February 1, 2010
2:30 PM Analysis Seminar 459 MSC
Melanie Henthorn, BGSU
The growth of eigenvalues and its relationship to
spectral synthesis, Part 2
Tuesday, February 2, 2010
10:45 AM Math 1220 Instructor Meeting 400 MSC
Wednesday, February 3, 2010
11:30 AM Statistics Seminar 459 MSC
Adam Combs, BGSU
A look at formulating prior distributions for analysis
in clinical trials
Turning informally expressed opinions into a
mathematical prior distribution is a very difficult, and
esoteric, aspect of Bayesian analysis. An overview of
five broad approaches for obtaining prior distributions
will be given, as it pertains to doing Bayesian analysis
in clinical trials. These approaches are: elicitation
of subjective opinion, summarizing past evidence, use of
default priors, robust priors and estimation of priors
using hierarchical models.
3:30 PM Algebra Seminar 459 MSC
Ben Otto, BGSU
Finite Calculus
4:30 PM Graduate Committee Meeting 400 MSC
Thursday, February 4, 2010
11:00 AM Math 1150 Instructor Meeting 400 MSC
2:30 PM Advisory Committee Meeting 400 MSC
4:00 PM Calculus Seminar 459 MSC
Indeterminate forms and L'Hopital's Rule
Mary Koshar session leader
7:00 PM The BGSU student Actuarial Science Society hosts
Lonie Moore, Associate Towers-Watson 459 MSc
For an informal discussion of the SOA/CAS actuarial
exams, exam-prep strategies, study materials, etc. Lonie
is a 2008 graduate of the BGSU actuarial science
program. Please join us! All are welcome -
refreshments provided.
Friday, February 5, 2010
3:30 PM COLLOQUIUM 459 MSC
Dr. Guohui Song, Illinois Institute of Technology
Fast algorithms for kernel-based scattered data
approximation
Scattered data approximation deals with the problem of
reconstructing an unknown function from given scattered
data. It has applications in a variety of fields such as
surface construction, the numerical solution of partial
differential equations, statistical learning, and
parameter estimation. A popular approach in scattered
data approximation is the kernel-based regularization
method that consists of calculating the inverse of a
matrix generated by a kernel function and the given
data. However, the computational cost of inverting this
matrix is a major concern especially for
high-dimensional data. We introduce some fast algorithms
for calculating the inverse by approximating the kernel
matrix with a related multilevel circulant matrix so
that the fast Fourier transform can apply to reduce the
computational cost. We also give a super fast algorithm
for high-dimensional tensor-product kernels. An
application in political science will be mentioned if
time permits. This is joint work with Dr. Yuesheng Xu at
Syracuse University.
A list of mathematics seminars by subject and other seminars at BGSU is available here.
If you have comments or material for the calendar, send e-mail to Anita
Serda,
If you wish to be placed on the e-mail
distribution list, send e-mail
to Craig Zirbel,
Previous calendars are available individually
or in one single file for searching.
Return to Math & Stat Home Page / BGSU Welcome Page
Last modified: 01/25/2010 13:23:55 /
/ Disclaimer