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Event(s) on September 2012
- 3/9/2012
| 題目: |
TVICA - Time Varying Independent Component Analysis and Its Application to Financial Data |
| 講員: |
Prof. Wolfgang K. Härdle, Ladislaus von Bortkiewicz Chair of Statistics C.A.S.E. - Centre for Applied Statistics and Economic, Humboldt-Universität zu Berlin, Germany |
| 時間/地點: |
11:00 - 12:00
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
Source extraction and dimensionality reduction are important in
analyzing high dimensional and complex financial time series
that are neither Gaussian distributed nor stationary. Independent
component analysis (ICA) method can be used to factorize the
data into a linear combination of independent components, so
that the high dimensional problem is converted to a set of univariate
ones. However conventional ICA methods implicitly assume stationarity
or stochastic homogeneity of the analyzed time series, which
leads to a low accuracy of estimation in case of a changing stochastic
structure. A time varying ICA (TVICA) is proposed here. The key
idea is to allow the ICA filter to change over time, and to estimate
it in so-called local homogeneous intervals. The question of
how to identify these intervals is solved by the LCP (local change
point) method. Compared to a static ICA, the dynamic TVICA provides
good performance both in simulation and real data analysis. The
data example is concerned with independent signal processing
and deals with a portfolio of highly traded stocks.
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- 5/9/2012
| 題目: |
Local Quantile Regression |
| 講員: |
Ms. WANG Weining, Ladislaus von Bortkiewicz Chair of Statistics C.A.S.E. - Center for Applied Statistics & Economics C, Humboldt-Universität zu Berlin, Germany |
| 時間/地點: |
10:00 - 11:00
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
Quantile regression is a technique to estimate conditional quantile
curves. It provides a comprehensive picture of a response contingent
on explanatory variables. In a flexible modeling framework, a
specific form of the conditional quantile curve is not a priori
fixed. This motivates a local parametric rather than a global
fixed model fitting approach. A nonparametric smoothing estimator
of the conditional quantile curve requires to balance between
local curvature and stochastic variability. In this paper, we
suggest a local model selection technique that provides an adaptive
estimator of the conditional quantile regression curve at each
design point. Theoretical results claim that the proposed adaptive
procedure performs as good as an oracle which would minimize
the local estimation risk for the problem at hand. We illustrate
the performance of the procedure by an extensive simulation study
and consider a couple of applications: to tail dependence analysis
for the Hong Kong stock market and to analysis of the distributions
of the risk factors of temperature dynamics.
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- 5/9/2012
| 題目: |
Basis Selection from Multiple Libraries |
| 講員: |
Prof. Yuedong Wang, Department of Statistics and Applied Probability, University of California, Santa Barbara, USA |
| 時間/地點: |
11:00 - 12:00
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
We propose a new method for estimating complex functions by linear
combinations of basis functions selected adaptively from different
classes of basis functions called libraries. Libraries are chosen
to model various features of a function such as change points
and oscillations. Data-driven estimates of model complexities
based on the generalized degrees of freedom or covariance penalty
are used to correct bias incurred by adaptive model selection.
The proposed method is general in the sense that it can be applied
to any generic libraries including spline and wavelet bases.
Simulations and real data sets will be used for illustration.
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- 7/9/2012
| 題目: |
Spectral Galerkin Method for Space-Time fractional diffusion equation |
| 講員: |
Mr. CHEUNG Ka Chun, Department of Mathematics, Hong Kong Baptist University, Hong Kong |
| 時間/地點: |
11:00 - 12:00
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
In this talk, we investigate the initial-boundary value problem
of
diffusion equation with Caputo fractional derivative in time
and Riemann-Liouville
derivative in space. Well-posedness of the weak formulation
will be provided and the
weak solution is obtained from spectral Galerkin method. In
the weak formulation,
integrals were computed by Gauss-Legendre quadrature and Gauss-Jacobi
quadrature.
Numerical solution will be provided.
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