陳 素 雲
Su-Yun Huang
Research Fellow
Institute of Statistical Science,
Academia Sinica
Taipei 11529, Taiwan
Tel: 886-2-27835611
Fax: 886-2-27831523
syhuang@stat.sinica.edu.tw
Kernel Statistics Toolbox
KSIR package
papers
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Education
Ph.D.
in Statistics (1990), Purdue University ,
Advisor: William J. Studden.
Thesis: Density Estimation by Spline Projection Kernels.
M.S. in Mathematics(1985),
National
Taiwan University,
B.S. in Mathematics(1983), National Taiwan University,
Experience
2004-present Research Fellow, Institute
of Statistical Science, Academia Sinica.
1997-2004 Associate Research Fellow, Institute of Statistical Science,
Academia Sinica.
1993-1997 Assistant Research Fellow, Institute of Statistical
Science, Academia Sinica.
1990-1993 Assistant Professor, Department
of Mathematics, Wayne State University,
Research Interests
˙Nonparametric function
estimation, wavelet methods, spline smoothing.
˙Bayesian and empirical
Bayesian inference, Bayesian computation.
˙Statistical applications
on epidemic studies.
˙Statistical applications
on educational and psychological fields.
Academic and Administrative Services
˙Statistica Sinica managing editor (08/2002-present).
˙Colloquium chair (07/2000-12/2000).
˙Academic councilor, Chinese Statistical
Association (01/2000-12/2001).
˙Local committee for the
2002 Taipei International Statistical Symposium and Bernoulli Society EAPR
Conference.
˙Library commissioner (07/1997-06/1998).
˙Journal reviews:
Bulletin, Institute of Mathematics, Academia Sinica; Communications in
Statistics-Theory and Methods; Computational Statistics; J. American
Statistical Association; J. Chinese Statistical Association; J. Data Science;
J. Multivariate Analysis; J. National Taiwan Normal University; J.
Nonparametric Statistics; J. Statistical Planning and Inference; Proceedings,
National Science Council, A: Physical Science and Engineering; Soochow J.
Mathematics; Southeast Asian Bulletin of Mathematics; Statistica
Sinica; Statistics and Decisions; Statistics and Probability Letters.
˙Grant proposal and
research award review for National Science Council of ROC and grant proposal
review for Natural Sciences and Engineering Research Council of Canada.
˙PhD thesis review for Istituto per Applicazioni della Matematica, CNR (National
Research Council), Italy.
˙Recruiting committee (07/1996-06/1997,
07/1998-06/2000).
˙Deputy director (08/1999-07/2000).
˙Executive committee (07/1996-06/1998,
07/2001-present).
˙Campus environment committee (01/2000-present).
Honors
˙National
Science Council research award, 1995-2001.
Research Grants
˙National
Science Council research grants,1995-present.
Selected invited talks
˙Workshop
on Splines and its Applications. Institute
of Mathematics, Academia Sinica, April 16-17, 1999. Title: Smoothing splines for Statistical model.
˙Workshop on
Wavelets and Multiresolution Analysis. City
University of Hong Kong, Nov. 29-Dec. 3, 1999. Title: Bayesian wavelet
shrinkage.
˙Bernoulli
Society EAPRC 2001 International Conference and Workshop on Recent Developments
in Statistics and Its Applications. Kualar
Lumpur, Malaysia, June 26-28, 2001. Title: Wavelet shrinkage estimation via
asymptotic BLUP.
Publication
1. Huang, S.Y. (1992)
Averaged shifted spline projection kernel estimator:
an effective bias reducing nonparametric density estimator. Technical report, Department
of Mathematics, Wayne State University, U.S.A. Abstract in Inst. Math.
Bulletin, 21, p.52.
2. Huang, S.Y. and Studden, W.J.(1993). Density estimation using spline
projection kernels. Communications in
Statistics-Theory and Methods, 22, 3263-3285.
3. Huang, S.Y. and Studden, W.J. (1993). An
equivalent kernel method for least square spline
regression. Statistics and Decisions,
3, 179-201.
4. Huang, S.Y.(1995).
Empirical Bayes testing procedures in some nonexponentials families using asymmetric Linex loss function. Journal
of Statistical Planning and Inference, 46, 293-309.
5. Huang, S.Y.(1993). On the consistency of
hierarchical Bayes estimators. Statistics and Decisions, 14, 295-305.
6. Huang, S.Y.(1997)
Wavelet based empirical Bayes estimation for the
uniform distribution. Statistics and
Probability Letters, 32,141-146.
7. Huang, S.Y. and
Liang, T. (1997). Empirical Bayes estimations of the
truncation parameter with Linex loss. Statistica Sinica,7,755-769.
8. Huang, S.Y. (1999).
Density estimation by wavelet-based reproducing kernels. Statistica Sinica, 9, 137-151.
9. Chow, Y. and
Huang, S.Y. (1999), "A characterization of the uniform distribution via
moments of n-fold convolution modulo one" , Sankhya A, 61, 148-151.
10. Huang,
I.-C. and Huang, S. Y. (1999), "Bernoulli numbers and polynomials via
residues" . J. Number Theory,
76, 178-193.
11. Huang, S.Y. and Lu, H.S.
(2000). Bayesian wavelet shrinkage for nonparametric mixed-effects models. Statistica Sinica, 10, 1021-1040.
12. Huang, S.Y. and Lu, H.S.
(2001). Extended Gauss-Markov theorem for nonparametric mixed-effects models. J. Multivariate Analysis, 76, 249-266.
13. Huang, S.Y. (2002).
On a Bayesian aspect for soft wavelet shrinkage estimation under an asymmetric linex loss. Statistics
and Probability Letters, 56, 171-175.
14. Huang, S.Y. and Bai, Z.D. (2002). Wavelets, Advanced. Encyclopedia of Physical Science & Technology, 3rd ed., vol.
17, 753-771, Academic Press.
15. Lu, H.S., Huang, S.Y.
and Lin, F.J. (2003). Generalized
cross-validation for wavelet shrinkage in nonparametric mixed-effects models. J. Computational and Graphical Statistics, 12, 714-730.
16. Huang, S.Y., Hsiao, C.K.
and Chang, C.W. (2003). Optimal volume-corrected Laplace-Metropolis method. Ann. Inst. Statist. Math., 55,
655-670.
17. Hsiao, C.K., Huang, S.Y.
and Chang, C.W. (2004). Bayesian marginal inference via candidate's formula. Statistics and Computing, 14, 59-66.
18. Lin, M.H., Huang, S.Y. and Chang,
Y.C.
(2004). Kernel-based discriminant techniques for
educational placement. J. Educational
& Behavioral Statistics, 29, 219-240.
19. Lee, Y.J., Lo, H.Y.
and Huang, S.Y. Incremental reduced support vector machines. Manuscript.
20. Huang, S.Y. and Lee, Y.J. Equivalence
relations between support vector machines, sparse approximation and Bayesian
regularization. Manuscript.
21. Lee,
Y.J. and Huang, S.Y. Reduced Support Vector Machines: A
Statistical Theory.
22. Huang, S.Y., Hwang,
C. R. and Lin, M.H. Kernel
Fisher’s Discriminant Analysis in Gaussian Reproducing Kernel Hilbert Space.
23. Huang, S. Y., Lee, M. H. and Hsiao, C. K. Kernel Canonical Correlation Analysis and its Applications to Nonlinear Measures of Association and Test of Independence.
Family
Last Update: 2007-04-18 3:58 PM