ORCA
Online Research @ Cardiff
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Up a levelNumber of items: 11.
Chen, Chong, Liu, Ying  ORCID: https://orcid.org/0000-0001-9319-5940, Wang, Shixuan, Di Cairano-Gilfedder, Carla, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Titmus, Scott and Syntetos, Aris A. ORCID: https://orcid.org/0000-0003-4639-0756
2020.
Predictive maintenance using cox proportional hazard deep learning.
Advanced Engineering Informatics
44
, 101054.
10.1016/j.aei.2020.101054
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Goltsos, Thanos E. ORCID: https://orcid.org/0000-0002-5245-9775, Ponte, Borja, Wang, Shixuan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Naim, Mohamed M. ORCID: https://orcid.org/0000-0003-3361-9400 and Syntetos, Aris A. ORCID: https://orcid.org/0000-0003-4639-0756
2019.
The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems.
International Journal of Production Research
57
(23)
, pp. 7361-7394.
10.1080/00207543.2018.1510191
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| Bouri, Elie, Gupta, Rangan, Lau, Chi Keung Marco, Roubaud, David and Wang, Shixuan 2018. Bitcoin and global financial stress: A copula-based approach to dependence and causality in the quantiles. The Quarterly Review of Economics and Finance 69 , pp. 297-307. 10.1016/j.qref.2018.04.003 |
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Wang, Shixuan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Cairano-Gilfedder, Carla Di, Titmus, Scott, Naim, Mohamed ORCID: https://orcid.org/0000-0003-3361-9400 and Syntetos, Argyrios ORCID: https://orcid.org/0000-0003-4639-0756
2018.
Reliability analysis for automobile engines: conditional inference trees.
Procedia CIRP
72
, pp. 1392-1397.
10.1016/j.procir.2018.03.065
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Chen, Chong, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Wang, Shixuan, Di Cairano-Gilfedder, Carla, Titmus, Scott and Syntetos, Aris ORCID: https://orcid.org/0000-0003-4639-0756
2018.
Reliability analysis using deep learning.
Presented at: ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference,
Quebec City, Canada,
26-29 August 2018.
ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Volume 1B: 38th Computers and Information in Engineering Conference Quebec City, Quebec, Canada, August 26–29, 2018.
ASME,
V01BT02A040.
10.1115/DETC2018-86172
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Antoch, Jaromír, Hanousek, Jan, Horváth, Lajos, Hu?ková, Marie and Wang, Shixuan
2018.
Structural breaks in panel data: Large number of panels and short length time series.
Econometric Reviews
38
(7)
, pp. 828-855.
10.1080/07474938.2018.1454378
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| Liu, Zhenya and Wang, Shixuan 2017. Understanding the Chinese stock market: international comparison and policy implications. Economic and Political Studies 5 (4) , pp. 441-455. 10.1080/20954816.2017.1384616 |
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Horváth, Lajos, Pouliot, William and Wang, Shixuan
2017.
Detecting at-most-m changes in linear regression models.
Journal of Time Series Analysis
38
(4)
, p. 552.
10.1111/jtsa.12228
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| Liu, Zhenya and Wang, Shixuan 2017. Decoding Chinese stock market returns: three-state hidden semi-Markov model. Pacific-Basin Finance Journal 44 , pp. 127-149. 10.1016/j.pacfin.2017.06.007 |
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| Lau, Marco Chi Keung, Vigne, Samuel A., Wang, Shixuan and Yarovaya, Larisa 2017. Return spillovers between white precious metal ETFs: The role of oil, gold, and global equity. International Review of Financial Analysis 52 , pp. 316-332. 10.1016/j.irfa.2017.04.001 |
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| Liu, Zhenya, Han, Danyuanni and Wang, Shixuan 2016. Testing bubbles: exuberance and collapse in the Shanghai A-share stock market. Song, Ligang, Garnaut, Ross, Fang, Cai and Johnston, Lauren, eds. Reform, resources and climate change, Vol. 1. China's new sources of economic growth, Canberra, Australia: ANU Press, pp. 247-270. (10.22459/CNSEG.07.2016.11) |
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