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Event(s) on January 2006
- Friday, 6th January, 2006
| Title: |
A Guide To Computational Microstructures |
| Speaker: |
Professor Carsten Carstensen, Faculty of Mathematics and Natural Sciences II, Humboldt University, Berlin, Germany |
| Time/Place: |
14:30 - 16:00
FSC1217
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- Tuesday, 10th January, 2006
| Title: |
Likelihood-based Approaches for Constrained Parameter Problems in Multiple Regression Models |
| Speaker: |
Dr. Tian, Guoliang, Division of Biostatistics, University of Maryland at Baltimore, USA |
| Time/Place: |
11:30 - 12:30
FSC1217
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| Abstract: |
Constrained parameter problems arise in a variety of statistical
applications but they have been most resistant to solution. This
paper proposes methodology for estimating restricted parameters
in general multiple regression models with known or unknown covariance
matrix. The proposed method thus provides solution to an open
problem: The penalized estimation for linear inverse problem
with positivity restrictions originated from Vardi and Lee (1993).
By first considering the simplest rectangle constraints and then
generalizing them to linear inequality constraints and to arbitrary
convex constraints, we propose a unified EM-type algorithm for
estimating the constrained parameters via data augmentation.
The key idea is to introduce a sequence of latent variables
such that the complete-data model belongs to the exponential
family, hence, resulting in a simple E-step and an explicit M-step.
Furthermore, we extend the restricted multivariate normal distribution
to the multivariate t-distribution with constrained parameters
to obtain robust estimation. With the proposed algorithms, standard
errors can be calculated by bootstrapping. The proposed method
is appealing for its simplicity and ease of implementation and
its applicability to a wide class of parameter restrictions.
Four real data sets are analyzed to illustrate different aspects
of the proposed methods. Finally, the proposed algorithm is applied
to linear inverse problem with possible negativity restrictions
and is evaluated numerically.
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- Tuesday, 10th January, 2006
| Title: |
A Guide To Computational Microstructures |
| Speaker: |
Professor Carsten Carstensen, Faculty of Mathematics and Natural Sciences II, Humboldt University, Berlin, Germany |
| Time/Place: |
14:30 - 16:00
FSC 1217
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- Friday, 13th January, 2006
| Title: |
Low Order Quadrilateral Finite Elements for Reissner-Mindlin Plate Model |
| Speaker: |
Professor Zhong-ci Shi, Chinese Academy of Sciences, China |
| Time/Place: |
16:00 - 17:30
WLB204
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| Abstract: |
Reissner-Mindlin plate model is one of the most commonly used
models of a moderately thick to thin plate. However, a direct
and seemingly reasonable finite element discretization usually
yields very poor results which is referred to LOCKING phenomenon.
In the past two decades, many efforts have been devoted to the
design of locking free finite elements to resolve this model,
most of these work focus on triangular and rectangular elements,
the latter may be extended to parallelograms, but very few on
quadrilaterals. In this talk we will give an overview of the
recent development of low order quadrilateral elements and present
our new results.
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- Tuesday, 17th January, 2006
| Title: |
Bedrosian Theorem, its generalizations, and applications in time-frequency |
| Speaker: |
Professor Tao QIAN, Faculty of Science and Technology, University of Macau |
| Time/Place: |
11:30 - 12:30
FSC1217
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| Abstract: |
Bedrosian Theorem says that if f and g have lower and higher frequencies,
respectively,
then H(fg)=fHg, where H is Hilbert transform. The first half
of the talk will give an account of generalizationsof this result.
The later half is devoted to their connections and applications
to signal analysis.
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- Tuesday, 17th January, 2006
| Title: |
Joint HKBU-HKU Workshop on Mathematical and Computational Biology |
| Speaker: |
Profs.I.Shmulevich/L.H.Tang, Institute for Systems Biology / Department of Physics, HKBU |
| Time/Place: |
14:30 - 17:00
FSC 1217
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- Friday, 20th January, 2006
| Title: |
Structural Equation Model and Its Statistical Diagnostics |
| Speaker: |
Dr. LU Bin, Department of Statistics, The Chinese University of Hong Kong |
| Time/Place: |
11:30 - 12:30
FSC1217
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| Abstract: |
The structural equation model (SEM) is a widely appreciated method
in behavioral, educational, psychological, and social sciences.
Recently, SEM has also received a great deal of attention in
biological and medical researches. The main purpose of SEM is
to assess the inter-relationships among manifest variables, and
latent variables which cannot be measured directly by a single
manifest variable. Statistical diagnostics is an important component
of a thorough data analysis. The main objective of this talk
is to introduce some basic concepts of SEM, and develop the efficient
diagnostic procedures in the context of a nonlinear SEM with
ignorable missing data. Statistical diagnostics was studied in
terms of case-deletion and local influence approaches. The diagnostic
measures were obtained on the basis of the conditional expectation
of the complete data log-likelihood which is closely related
to the MCEM algorithm in finding the ML estimate. Formulas for
achieving the diagnostic measures are derived. Real examples
are also presented to illustrate our method.
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- Tuesday, 24th January, 2006
| Title: |
On Numerical Evaluation of European and American Options |
| Speaker: |
Professor Song Wang, School of Mathematics & Statistics, The University of Western Australia, Australia |
| Time/Place: |
11:30 - 12:30
FSC1217
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| Abstract: |
In this talk I will present some of our latest advances in the
numerical solution of the Black-Scholes equation and a variational
inequality problem involving the Black-Sholes equation governing,
respectively, European and American option valuations. These
include a penalty method for a complementarily problem and some
discretization methods for the Black-Scholes equation. Both theoretical
and numerical aspects of the methods will be addressed.
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- Thursday, 26th January, 2006
| Title: |
Mechanism of the Formation of Singularities for Quasilinear Hyperbolic Systems |
| Speaker: |
Professor LI Ta-Tsien, Department of Mathematics, Fudan University, China |
| Time/Place: |
11:30 - 12:30
FSC 1217
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| Abstract: |
In this survey talk the mechanism and the character of the formation
of singularities caused by eigenvalues or (and) eigenvectors
respectively will be discussed for quasilinear hyperbolic systems.
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