Week of November 28, 2011 - December 2, 2011
Monday, November 28, 2011
1:30 PM Advisory Committee Meeting 400 MSC
3:30 PM Education Seminar 459 MSC
Craig L. Zirbel, BGSU
Developing materials for 1000-level mathematics classes
I would like to discuss making it our mission to
develop high-quality activities and methods to be used
in 1000-level math/stat classes. Examples of
activities that are already being used are the Random
Rectangles activity in Math 1150 and an activity in
which students discover properties of logarithms
themselves in Math 1220. I think we can design things
that are so good that everyone teaching will want to
use them. Well-designed activities can improve student
learning and attendance in classes. They make it
easier for new TAs to get away from lecturing. If we
assess their effectiveness and improve them afterward,
the materials get better, our students learn more, and
all of us gain experience with the paradigm of constant
assessment and improvement. TAs who participate in the
development and improvement process should get better
teaching jobs when they graduate. In my mind, the main
thing is to get organized and be deliberate. The more
of this we do, the easier teaching becomes, especially
if we work together.
Tuesday, November 29, 2011
3:45 PM Faculty Meeting 459 MSC
Unit-Level Strategic Plan
Wednesday, November 30, 2011
3:30 PM Analysis Seminar 459 MS
Dr. Yun-Su Kim, University of Toledo
Hilbert Spaces with respect to Operator-Valued Norm
We introduce two kinds of operator-valued norms. One of
them is an L(H)-valued norm. The other one is an
L(C(K))-valued norm. We provide the notion of a Hilbert
space with respect to an L(H)-valued norm. By a Hilbert
space with respect to an L(H)-valued norm, we
generalize the notion of a Hilbert space. Furthermore,
we provide several interesting examples (L-infinity and
C(Y)) of Hilbert spaces with respect to an
operator-valued norm.
Thursday, December 1, 2011
10:45 AM Math 1210 Instructor Meeting 459 MSC
11:30 AM Math 1220 Instructor Meeting 400 MSC
1:30 PM Math 1260 Instructor Meeting 400 MSC
Friday, December 2, 2011
2:30 PM Presidential Inauguration Stroh Center
Robing by 1:45 PM
3:30 PM Refreshments
3:45 PM Colloquium 459 MSC
Dr. Xiaoli Gao, Oakland University, Michigan
Estimation and Selection Properties of the LAD Fused
Lasso Signal Approximator
The fused lasso is an important method for signal
processing when the hidden signals are sparse and
blocky. It is often used in combination with the
squared loss function. However, the squared loss is not
suitable for heavy tail error distributions nor is
robust against outliers which arise often in
practice. The least absolute deviations (LAD) loss
provides a robust alternative to the squared loss. In
this paper, we study the asymptotic properties of the
fused lasso estimator with the LAD loss for signal
approximation. We refer to this estimator as the LAD
fused lasso signal approximator, or LAD-FLSA. We
investigate the estimation consistency properties of
the LAD-FLSA and provide sufficient conditions under
which the LAD-FLSA is sign consistent. We also
construct an unbiased estimator for the generalized
degrees of freedom (GDF) of the LAD-FLSA for any given
tuning parameters. Both simulation studies and real
data analysis are conducted to illustrate the
performance of the LAD-FLSA and the effect of the
unbiased estimator of GDF.
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,
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to Craig Zirbel,
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