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Xianyi Wu

Personal Details

First Name:Xianyi
Middle Name:
Last Name:Wu
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RePEc Short-ID:pwu65
http://faculty.ecnu.edu.cn/wuxianyi/Info_cn.html

Affiliation

华东师范大学金融与统计学院

http://www.sfs.ecnu.edu.cn/
China, Shanghai

Research output

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Jump to: Articles

Articles

  1. Huang, Jinlong & Wu, Xianyi & Zhou, Xian, 2016. "Asymptotic behaviors of stochastic reserving: Aggregate versus individual models," European Journal of Operational Research, Elsevier, vol. 249(2), pages 657-666.
  2. Huang, Jinlong & Qiu, Chunjuan & Wu, Xianyi & Zhou, Xian, 2015. "An individual loss reserving model with independent reporting and settlement," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 232-245.
  3. Cai, Xiaoqiang & Lai, Minghui & Li, Xiang & Li, Yongjian & Wu, Xianyi, 2014. "Optimal acquisition and production policy in a hybrid manufacturing/remanufacturing system with core acquisition at different quality levels," European Journal of Operational Research, Elsevier, vol. 233(2), pages 374-382.
  4. Lei Yang & Xianyi Wu, 2014. "A new sufficient condition for identifiability of countably infinite mixtures," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(3), pages 377-387, April.
  5. Wen, Limin & Wu, Xianyi & Zhou, Xian, 2009. "The credibility premiums for models with dependence induced by common effects," Insurance: Mathematics and Economics, Elsevier, vol. 44(1), pages 19-25, February.
  6. Pan, Maolin & Wang, Rongming & Wu, Xianyi, 2008. "On the consistency of credibility premiums regarding Esscher principle," Insurance: Mathematics and Economics, Elsevier, vol. 42(1), pages 119-126, February.
  7. Wu, Xianyi & Zhou, Xian, 2008. "Stochastic scheduling to minimize expected maximum lateness," European Journal of Operational Research, Elsevier, vol. 190(1), pages 103-115, October.
  8. Wu, Xianyi & Zhou, Xian, 2006. "A new characterization of distortion premiums via countable additivity for comonotonic risks," Insurance: Mathematics and Economics, Elsevier, vol. 38(2), pages 324-334, April.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Huang, Jinlong & Wu, Xianyi & Zhou, Xian, 2016. "Asymptotic behaviors of stochastic reserving: Aggregate versus individual models," European Journal of Operational Research, Elsevier, vol. 249(2), pages 657-666.

    Cited by:

    1. Avanzi, Benjamin & Taylor, Greg & Wang, Melantha & Wong, Bernard, 2021. "SynthETIC: An individual insurance claim simulator with feature control," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 296-308.
    2. Michel Denuit & Yang Lu, 2021. "Wishart‐gamma random effects models with applications to nonlife insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(2), pages 443-481, June.
    3. Crevecoeur, Jonas & Antonio, Katrien & Verbelen, Roel, 2019. "Modeling the number of hidden events subject to observation delay," European Journal of Operational Research, Elsevier, vol. 277(3), pages 930-944.
    4. Greg Taylor, 2019. "Loss Reserving Models: Granular and Machine Learning Forms," Risks, MDPI, vol. 7(3), pages 1-18, July.
    5. Denuit, Michel & Trufin, Julien, 2016. "Collective Loss Reserving with Two Types of Claims in Motor Third Party Liability Insurance," LIDAM Discussion Papers ISBA 2016029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Benjamin Avanzi & Gregory Clive Taylor & Melantha Wang & Bernard Wong, 2020. "SynthETIC: an individual insurance claim simulator with feature control," Papers 2008.05693, arXiv.org, revised Aug 2021.
    7. Lindholm, Mathias & Verrall, Richard, 2020. "Regression based reserving models and partial information," Insurance: Mathematics and Economics, Elsevier, vol. 94(C), pages 109-124.
    8. Benjamin Avanzi & Gregory Clive Taylor & Bernard Wong & Xinda Yang, 2020. "On the modelling of multivariate counts with Cox processes and dependent shot noise intensities," Papers 2004.11169, arXiv.org, revised Dec 2020.

  2. Huang, Jinlong & Qiu, Chunjuan & Wu, Xianyi & Zhou, Xian, 2015. "An individual loss reserving model with independent reporting and settlement," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 232-245.

    Cited by:

    1. Stephan M. Bischofberger, 2020. "In-Sample Hazard Forecasting Based on Survival Models with Operational Time," Risks, MDPI, vol. 8(1), pages 1-17, January.
    2. Crevecoeur, Jonas & Antonio, Katrien & Verbelen, Roel, 2019. "Modeling the number of hidden events subject to observation delay," European Journal of Operational Research, Elsevier, vol. 277(3), pages 930-944.
    3. Badescu, Andrei L. & Lin, X. Sheldon & Tang, Dameng, 2016. "A marked Cox model for the number of IBNR claims: Theory," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 29-37.
    4. Yanez, Juan Sebastian & Pigeon, Mathieu, 2021. "Micro-level parametric duration-frequency-severity modeling for outstanding claim payments," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 106-119.

  3. Cai, Xiaoqiang & Lai, Minghui & Li, Xiang & Li, Yongjian & Wu, Xianyi, 2014. "Optimal acquisition and production policy in a hybrid manufacturing/remanufacturing system with core acquisition at different quality levels," European Journal of Operational Research, Elsevier, vol. 233(2), pages 374-382.

    Cited by:

    1. He, Yuanjie, 2015. "Acquisition pricing and remanufacturing decisions in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 163(C), pages 48-60.
    2. Gu, Xiaoyu & Ieromonachou, Petros & Zhou, Li, 2019. "Subsidising an electric vehicle supply chain with imperfect information," International Journal of Production Economics, Elsevier, vol. 211(C), pages 82-97.
    3. Liao, Haolan & Zhang, Qingyu & Shen, Neng & Nie, Yongyou & Li, Lu, 2021. "Coordination between forward and reverse production streams for maximum profitability," Omega, Elsevier, vol. 104(C).
    4. Bo Wang & Ning Wang, 2022. "Decision Models for a Dual-Recycling Channel Reverse Supply Chain with Consumer Strategic Behavior," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    5. Ze-Bin Wang & Yao-Yu Wang & Jian-Cai Wang, 2016. "Optimal distribution channel strategy for new and remanufactured products," Electronic Commerce Research, Springer, vol. 16(2), pages 269-295, June.
    6. Matsui, Kenji, 2022. "Optimal timing of acquisition price announcement for used products in a dual-recycling channel reverse supply chain," European Journal of Operational Research, Elsevier, vol. 300(2), pages 615-632.
    7. Vladimir Polotski & Jean-Pierre Kenne & Ali Gharbi, 2017. "Set-up and production planning in hybrid manufacturing–remanufacturing systems with large returns," International Journal of Production Research, Taylor & Francis Journals, vol. 55(13), pages 3766-3787, July.
    8. Zhu, Xiaoxi & Wang, Miaomiao & Chen, Guofu & Chen, Xiaoshan, 2016. "The effect of implementing trade-in strategy on duopoly competition," European Journal of Operational Research, Elsevier, vol. 248(3), pages 856-868.
    9. Shuihua Han & Weina Ma & Ling Zhao & Xuelian Zhang & Ming K. Lim & Shuangyuan Yang & Stephen Leung, 2016. "A robust optimisation model for hybrid remanufacturing and manufacturing systems under uncertain return quality and market demand," International Journal of Production Research, Taylor & Francis Journals, vol. 54(17), pages 5056-5072, September.
    10. Senlin Zhao & Qinghua Zhu, 2017. "Remanufacturing supply chain coordination under the stochastic remanufacturability rate and the random demand," Annals of Operations Research, Springer, vol. 257(1), pages 661-695, October.
    11. Gönsch, Jochen, 2015. "A note on a model to evaluate acquisition price and quantity of used products for remanufacturing," International Journal of Production Economics, Elsevier, vol. 169(C), pages 277-284.
    12. Wei, Shuoguo & Tang, Ou & Liu, Weihua, 2015. "Refund policies for cores with quality variation in OEM remanufacturing," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 629-640.
    13. Rafael Diaz & Erika Marsillac, 2017. "Evaluating strategic remanufacturing supply chain decisions," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2522-2539, May.
    14. Feng, Lipan & Govindan, Kannan & Li, Chunfa, 2017. "Strategic planning: Design and coordination for dual-recycling channel reverse supply chain considering consumer behavior," European Journal of Operational Research, Elsevier, vol. 260(2), pages 601-612.
    15. Gu, Xiaoyu & Zhou, Li & Huang, Hongfu & Shi, Xiutian & Ieromonachou, Petros, 2021. "Electric vehicle battery secondary use under government subsidy: A closed-loop supply chain perspective," International Journal of Production Economics, Elsevier, vol. 234(C).
    16. Tian, Xiaoyu & Zhang, Zhi-Hai, 2019. "Capacitated disassembly scheduling and pricing of returned products with price-dependent yield," Omega, Elsevier, vol. 84(C), pages 160-174.
    17. Pazoki, Mostafa & Samarghandi, Hamed, 2020. "Take-back regulation: Remanufacturing or Eco-design?," International Journal of Production Economics, Elsevier, vol. 227(C).
    18. Cai, Ya-Jun & Choi, Tsan-Ming & Zhang, Ting, 2022. "Commercial used apparel collection operations in retail supply chains," European Journal of Operational Research, Elsevier, vol. 298(1), pages 169-181.
    19. Dixit, Aasheesh & Choi, Tsan-Ming & Kumar, Patanjal & Jakhar, Suresh K., 2024. "Roles of reciprocity and fairness concerns in airline-airport systems with environmental considerations," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1011-1023.
    20. Wu, Cheng-Han & Kao, Yi-Jhe, 2018. "Cooperation regarding technology development in a closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 267(2), pages 523-539.
    21. Suzanne, Elodie & Absi, Nabil & Borodin, Valeria, 2020. "Towards circular economy in production planning: Challenges and opportunities," European Journal of Operational Research, Elsevier, vol. 287(1), pages 168-190.
    22. Xinyue Wang & Zhimei Li & Peinan Liu, 2023. "Recycling/Production and Incentive-Penalty Strategies in Closed-Loop Supply Chains under Remanufacturing Policies," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    23. Liao, Haolan & Zhang, Qingyu & Li, Lu, 2023. "Optimal procurement strategy for multi-echelon remanufacturing systems under quality uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    24. Cao, Jian & Wu, Sisi & Kumar, Sanjay, 2023. "Recovering and remanufacturing to fulfill EPR regulation in the presence of secondary market," International Journal of Production Economics, Elsevier, vol. 263(C).
    25. Liu, Jian & Mantin, Benny & Song, Xuefeng, 2022. "Rent, sell, and remanufacture: The manufacturer's choice when remanufacturing can be outsourced," European Journal of Operational Research, Elsevier, vol. 303(1), pages 184-200.
    26. Liu, Baolong & Papier, Felix, 2022. "Remanufacturing of multi-component systems with product substitution," European Journal of Operational Research, Elsevier, vol. 301(3), pages 896-911.
    27. Yan, Wei & Xiong, Yu & Xiong, Zhongkai & Guo, Nian, 2015. "Bricks vs. clicks: Which is better for marketing remanufactured products?," European Journal of Operational Research, Elsevier, vol. 242(2), pages 434-444.
    28. Sadok Turki & Nidhal Rezg, 2018. "Impact of the Quality of Returned-Used Products on the Optimal Design of a Manufacturing/Remanufacturing System under Carbon Emissions Constraints," Sustainability, MDPI, vol. 10(9), pages 1-21, September.

  4. Lei Yang & Xianyi Wu, 2014. "A new sufficient condition for identifiability of countably infinite mixtures," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(3), pages 377-387, April.

    Cited by:

    1. Redivo, Edoardo & Nguyen, Hien D. & Gupta, Mayetri, 2020. "Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).

  5. Wen, Limin & Wu, Xianyi & Zhou, Xian, 2009. "The credibility premiums for models with dependence induced by common effects," Insurance: Mathematics and Economics, Elsevier, vol. 44(1), pages 19-25, February.

    Cited by:

    1. Wei Wang & Limin Wen & Zhixin Yang & Quan Yuan, 2020. "Quantile Credibility Models with Common Effects," Risks, MDPI, vol. 8(4), pages 1-10, September.
    2. Qiang Zhang & Lijun Wu & Qianqian Cui, 2017. "The balanced credibility estimators with correlation risk and inflation factor," Statistical Papers, Springer, vol. 58(3), pages 659-672, September.
    3. Zhang, Jianjun & Qiu, Chunjuan & Wu, Xianyi, 2018. "Bayesian ratemaking with common effects modeled by mixture of Polya tree processes," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 87-94.
    4. Salazar García, Juan Fernando & Guzmán Aguilar, Diana Sirley & Hoyos Nieto, Daniel Arturo, 2023. "Modelación de una prima de seguros mediante la aplicación de métodos actuariales, teoría de fallas y Black-Scholes en la salud en Colombia [Modelling of an insurance premium through the application," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 35(1), pages 330-359, June.

  6. Pan, Maolin & Wang, Rongming & Wu, Xianyi, 2008. "On the consistency of credibility premiums regarding Esscher principle," Insurance: Mathematics and Economics, Elsevier, vol. 42(1), pages 119-126, February.

    Cited by:

    1. Wang, Wei & Xu, Huifu & Ma, Tiejun, 2023. "Optimal scenario-dependent multivariate shortfall risk measure and its application in risk capital allocation," European Journal of Operational Research, Elsevier, vol. 306(1), pages 322-347.
    2. Zhang, Jianjun & Qiu, Chunjuan & Wu, Xianyi, 2018. "Bayesian ratemaking with common effects modeled by mixture of Polya tree processes," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 87-94.
    3. Kim, Joseph H.T. & Jeon, Yongho, 2013. "Credibility theory based on trimming," Insurance: Mathematics and Economics, Elsevier, vol. 53(1), pages 36-47.

  7. Wu, Xianyi & Zhou, Xian, 2008. "Stochastic scheduling to minimize expected maximum lateness," European Journal of Operational Research, Elsevier, vol. 190(1), pages 103-115, October.

    Cited by:

    1. Guhlich, Hendrik & Fleischmann, Moritz & Mönch, Lars & Stolletz, Raik, 2018. "A clearing function based bid-price approach to integrated order acceptance and release decisions," European Journal of Operational Research, Elsevier, vol. 268(1), pages 243-254.
    2. Senay Solak & Gustaf Solveling & John-Paul B. Clarke & Ellis L. Johnson, 2018. "Stochastic Runway Scheduling," Transportation Science, INFORMS, vol. 52(4), pages 917-940, August.
    3. Sun, Jing & Yamamoto, Hisashi & Matsui, Masayuki, 2020. "Horizontal integration management: An optimal switching model for parallel production system with multiple periods in smart supply chain environment," International Journal of Production Economics, Elsevier, vol. 221(C).
    4. Chang, Zhiqi & Ding, Jian-Ya & Song, Shiji, 2019. "Distributionally robust scheduling on parallel machines under moment uncertainty," European Journal of Operational Research, Elsevier, vol. 272(3), pages 832-846.
    5. Pei, Zhi & Lu, Haimin & Jin, Qingwei & Zhang, Lianmin, 2022. "Target-based distributionally robust optimization for single machine scheduling," European Journal of Operational Research, Elsevier, vol. 299(2), pages 420-431.
    6. M. Urgo & J. Váncza, 2019. "A branch-and-bound approach for the single machine maximum lateness stochastic scheduling problem to minimize the value-at-risk," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 472-496, June.
    7. Chang, Zhiqi & Song, Shiji & Zhang, Yuli & Ding, Jian-Ya & Zhang, Rui & Chiong, Raymond, 2017. "Distributionally robust single machine scheduling with risk aversion," European Journal of Operational Research, Elsevier, vol. 256(1), pages 261-274.

  8. Wu, Xianyi & Zhou, Xian, 2006. "A new characterization of distortion premiums via countable additivity for comonotonic risks," Insurance: Mathematics and Economics, Elsevier, vol. 38(2), pages 324-334, April.

    Cited by:

    1. Wei Wang & Limin Wen & Zhixin Yang & Quan Yuan, 2020. "Quantile Credibility Models with Common Effects," Risks, MDPI, vol. 8(4), pages 1-10, September.
    2. Jaume Belles-Sampera & José M. Merigó & Montserrat Guillén & Miguel Santolino, 2012. "The connection between distortion risk measures and ordered weighted averaging operators," IREA Working Papers 201201, University of Barcelona, Research Institute of Applied Economics, revised Jan 2012.
    3. Hirbod Assa, 2014. "On Optimal Reinsurance Policy with Distortion Risk Measures and Premiums," Papers 1406.2950, arXiv.org.
    4. Boonen, Tim J. & Tan, Ken Seng & Zhuang, Sheng Chao, 2016. "The role of a representative reinsurer in optimal reinsurance," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 196-204.
    5. Paola Ferretti & Antonella Campana, 2011. "XL reinsurance with reinstatements and initial premium feasibility in exchangeability hypothesis," Working Papers 2011_14, Department of Economics, University of Venice "Ca' Foscari".
    6. Gianni Bosi & Magalì Zuanon, 2012. "A note on the axiomatization of Wang premium principle by means of continuity considerations," Economics Bulletin, AccessEcon, vol. 32(4), pages 3158-3165.
    7. Assa, Hirbod, 2015. "On optimal reinsurance policy with distortion risk measures and premiums," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 70-75.
    8. Zhang, Jianjun & Qiu, Chunjuan & Wu, Xianyi, 2018. "Bayesian ratemaking with common effects modeled by mixture of Polya tree processes," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 87-94.
    9. Lei Yang & Xianyi Wu, 2014. "A new sufficient condition for identifiability of countably infinite mixtures," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(3), pages 377-387, April.
    10. Li, Shengguo & Peng, Jin & Zhang, Bo, 2013. "The uncertain premium principle based on the distortion function," Insurance: Mathematics and Economics, Elsevier, vol. 53(2), pages 317-324.
    11. Marta Cardin & Elisa Pagani, 2008. "Some proposals about multivariate risk measurement," Working Papers 165, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    12. Hirbod Assa, 2015. "Risk management under a prudential policy," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 217-230, October.
    13. Wen, Limin & Wu, Xianyi & Zhou, Xian, 2009. "The credibility premiums for models with dependence induced by common effects," Insurance: Mathematics and Economics, Elsevier, vol. 44(1), pages 19-25, February.
    14. Cheung, Ka Chun & Yam, Sheung Chi Phillip & Zhang, Yiying, 2019. "Risk-adjusted Bowley reinsurance under distorted probabilities," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 64-72.

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