Xingde Duan

Xingde Duan

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2001 in Biodiversity Science
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Journal Article
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QLQuan Liu
Quan Liu
ZGZhengda Gong
Zhengda Gong
XDXingde Duan
Xingde Duan
XFXiguang Feng
Xiguang Feng
YZYunzhi Zhang
Yunzhi Zhang
WHWu Hou-Yong
Wu Hou-Yong

14 October 2022 in Entropy
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Journal Article
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ATAn-Min Tang
An-Min Tang
XDXingde Duan
Xingde Duan
YZYuanying Zhao
Yuanying Zhao
In the development of simplex mixed-effects models, random effects in these mixed-effects models are generally distributed in normal distribution. The normality assumption may be violated in an analysis of skewed and multimodal longitudinal data. In this paper, we adopt the centered Dirichlet process mixture model (CDPMM) to specify the random effects in the simplex mixed-effects models. Combining the block Gibbs sampler and the Metropolis–Hastings algorithm, we extend a Bayesian Lasso (BLasso) to simultaneously estimate unknown parameters of interest and select important covariates with nonzero effects in semiparametric simplex mixed-effects models. Several simulation studies and a real example are employed to illustrate the proposed methodologies.

15 March 2023 in Entropy
Verified
Journal Article
Open access
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ZWZhenhuan Wu
Zhenhuan Wu
XDXingde Duan
Xingde Duan
WZWenzhuan Zhang
Wenzhuan Zhang
Under the Bayesian framework, this study proposes a Tweedie compound Poisson partial linear mixed model on the basis of Bayesian P-spline approximation to nonparametric function for longitudinal semicontinuous data in the presence of nonignorable missing covariates and responses. The logistic regression model is simultaneously used to specify the missing response and covariate mechanisms. A hybrid algorithm combining the Gibbs sampler and the Metropolis–Hastings algorithm is employed to produce the joint Bayesian estimates of unknown parameters and random effects as well as nonparametric function. Several simulation studies and a real example relating to the osteoarthritis initiative data are presented to illustrate the proposed methodologies.

4 January 2022 in Bulletin of the Malaysian Mathematical Sciences Society
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Journal Article
Closed access
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XDXingde Duan
Xingde Duan
ZWZhenhuan Wu
Zhenhuan Wu
SZShi Zhang
Shi Zhang
WZWenzhuan Zhang
Wenzhuan Zhang