Author/Creator: Men, Zhongxian - British Library Electronic Legal Deposit Catalogue-Journal Issues and Articles Search Results

Author/Creator Men, Zhongxian

1. Bayesian Analysis of a Threshold Stochastic Volatility Model. (2nd March 2016)

Authors:: Wirjanto, Tony S.; Kolkiewicz, Adam W.; Men, Zhongxian
Journal:: Journal of forecasting
Issue:: Volume 35:Number 5(2016)
Page Start:: 462
Record Type:: Journal Article
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2. Bayesian Analysis of Asymmetric Stochastic Conditional Duration Model. (8th December 2014)

Authors:: Men, Zhongxian; Kolkiewicz, Adam W.; Wirjanto, Tony S.
Journal:: Journal of forecasting
Issue:: Volume 34:Number 1(2015:Jan.)
Page Start:: 36
Record Type:: Journal Article
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3. Bayesian inference of asymmetric stochastic conditional duration models. Issue 7 (2nd May 2016)

Authors:: Men, Zhongxian; Kolkiewicz, Adam W.; Wirjanto, Tony S.
Journal:: Journal of statistical computation and simulation
Issue:: Volume 86:Issue 7(2016)
Page Start:: 1295
Record Type:: Journal Article
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4. Comparison of asymmetric stochastic volatility models under different correlation structures. Issue 8 (11th June 2017)

Authors:: Men, Zhongxian; McLeish, Don; Kolkiewicz, Adam W.; Wirjanto, Tony S.
Journal:: Journal of applied statistics
Issue:: Volume 44:Issue 8(2017)
Page Start:: 1350
Record Type:: Journal Article
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5. Ensemble Nonlinear Autoregressive Exogenous Artificial Neural Networks for Short-Term Wind Speed and Power Forecasting. (8th September 2014)

Authors:: Men, Zhongxian; Yee, Eugene; Lien, Fue-Sang; Yang, Zhiling; Liu, Yongqian
Other Names:: Yuen Ka-Veng Academic Editor.
Journal:: ISRN obstetrics and gynecology
Issue:: Volume 2014(2014)
Page Start:
Record Type:: Journal Article
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6. Sampling-based Inference of Time Deformation Models with Heavy Tail Distributions. Issue 9 (20th October 2016)

Authors:: Men, Zhongxian; Wirjanto, Tony S.; Kolkiewicz, Adam W.
Journal:: Communications in statistics
Issue:: Volume 45:Issue 9(2016)
Page Start:: 3128
Record Type:: Journal Article
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7. Short-term wind speed and power forecasting using an ensemble of mixture density neural networks. (March 2016)

Authors:: Men, Zhongxian; Yee, Eugene; Lien, Fue-Sang; Wen, Deyong; Chen, Yongsheng
Journal:: Renewable energy
Issue:: Volume 87:Part 1(2016)
Page Start:: 203
Record Type:: Journal Article
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