Peer-Reviewed Articles

Publications as a senior or lead author are indicated with an asterisk

Fei Tan and Hanxiang Peng
The multivariate slash and skew-slash student t distributions
Journal of Statistical Distributions and Applications, 2:3, (2015).
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Hanxiang Peng and Anton Schick
An Empirical Likelihood Approach of Goodness of Fit Testing
Bernoulli 19, 3, 954-981 (2013).
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Hanxiang Peng, Xin Dang, and Xueqin Wang.
The Partially Exchangeable Distribution.
Statist. Probabil. Lett. 80, 932-938 (2010). DOI:
10.1016/j.spl.2010.02.003 *
http://dx.doi.org/10.1016/j.spl.2010.02.003
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Fei Tan, Gibson Johnston Rayner,  Xiaodong Wang and Hanxiang Peng.
A Full Likelihood Procedure of Exchangeable Negative Binomials for Modelling Correlated and Overdispersed Count Data.
J. Statist. Plann. Inferr., (2010). DOI: 10.1016/j.jspi.2010.03.008 *
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Hanxiang Peng and Anton Schick.
Improving Efficient Marginal Estimators in Bivariate Models with Parametric Marginals.
Statist. Probabil. Lett. 79, 2437-2442 (2009). DOI:10.1016/j.spl.2009.08.022.
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Xin Dang, Stephine L. Keeton, Hanxiang Peng.
A Unified Approach for Analyzing Exchangeable Binary Data with Applications to Clinical and Developmental Toxicity Studies.
Statist. Med. 28: 2580-2604 (2009). DOI: 10.1002/sim.3638. *
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Yixin Chen, Xin Dang, Hanxiang Peng.
Outlier Detection: A Novel Depth Approach.
Book Chapter: Dynamic and Advanced Data Mining for Progressing Technological Development, published by IGI Global (2009).
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Yixin Chen, Xin Dang, Hanxiang Peng, and Henry L. Bart, Jr.
Outlier Detection with the Kernelized Spatial Depth Function.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 31 288 - 305 (2009).
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Hanxiang Peng and Xueqin Wang.
Moment estimation in a semiparametric generalized linear model.
Statist. Probabil. Lett. 138: 1836-1850 (2008).*
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Hanxiang Peng.
Efficient inference in a semiparametric generalized linear model.
J. Nonparametric Statist. 20(2): 115 -127 (2008). *
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H.Peng, Shaoli Wang and X. Wang.
Consistency and Asymptotic Distribution of the Theil-Sen Estimator.
J. Statist. Plann. Inferr. 138(6):1836-1850 (2008). *
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Y. Ding, X. Dang, H. Peng and D. Wilkin.
Robust Clustering in High Dimensional Data Using Statistical Depths.
Bioinformatics (BMCBI) 8(S-7) (2007). *
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Henry Bart, Yixin Chen, Xin Dang, and Hanxiang Peng.
Depth-Based Novelty Detection and its Application to Taxonomic Research. Accepted as a regular paper by the Seventh IEEE International Conference on Data Mining, Omaha, Nebraska, USA, Oct 28-31, 2007.
Published in the conference proceedings by the IEEE Computer Society Press.

H. Peng and A. Schick.
Efficient estimation of linear functionals of a bivariate distribution with equal, but unknown, marginals: The least squares approach.
J. Mult. Analy. 95(2) :385-409 (2005).
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H. Peng and A. Schick.
Efficient estimation of linear functionals of a bivariate distribution with equal, but unknown, marginals: The minimum chi-square approach.
Stat. & Deci. 22: 301-318 (2004).
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H. Peng and A. Schick.
Estimation of linear functionals of bivariate distributions with parametric marginals.
Stat. & Deci. 22: 61-77 (2004).

S. Penev, H. Peng, A. Schick and W. Wefelmeyer.
Efficient estimators for functionals of Markov chains with parametric marginals.
Statist. & Probabil. Lett. 66: 335-345 (2004) .
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J. Forrester, W. Hooper, H. Peng and A. Schick.
On the construction of efficient estimators in semiparametric models.
Stat. & Deci. 21: 109-138 (2003).
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H. Peng and A. Schick.
On efficient estimation of linear functionals of a bivariate distribution with known marginals.
Statist. & Probabil. Lett. 59: 83-91.(2002).

Publications_hp