IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to follow this author

Lean Yu

This is information that was supplied by Lean Yu in registering through RePEc. If you are Lean Yu , you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name:Lean
Middle Name:
Last Name:Yu
Suffix:
RePEc Short-ID:pyu29
Email:
Homepage:
Postal Address:No.15,North Third Loop East Road, Chaoyang District, Beijing, P.R.China
Phone:86-10-64438793
Location: Beijing, China
Homepage: http://www.sem.buct.edu.cn/
Email:
Phone:
Fax:
Postal:
Handle: RePEc:edi:sebuccn (more details at EDIRC)
in new window

  1. Pan, Wei & Yu, Lean & Wang, Shouyang & Wang, Xianjia, 2014. "A fuzzy multi-objective model for provider selection in data communication services with different QoS levels," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 689-696.
  2. Tang, Ling & Yu, Lean & He, Kaijian, 2014. "A novel data-characteristic-driven modeling methodology for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 128(C), pages 1-14.
  3. Ling Tang & Lean Yu & Fangtao Liu & Weixuan Xu, 2013. "An Integrated Data Characteristic Testing Scheme For Complex Time Series Data Exploration," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 491-521.
  4. Chen, Rongda & Yu, Lean, 2013. "A novel nonlinear value-at-risk method for modeling risk of option portfolio with multivariate mixture of normal distributions," Economic Modelling, Elsevier, vol. 35(C), pages 796-804.
  5. He, Kaijian & Yu, Lean & Lai, Kin Keung, 2012. "Crude oil price analysis and forecasting using wavelet decomposed ensemble model," Energy, Elsevier, vol. 46(1), pages 564-574.
  6. Tang, Ling & Yu, Lean & Wang, Shuai & Li, Jianping & Wang, Shouyang, 2012. "A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 93(C), pages 432-443.
  7. Ye Pang & Wei Xu & Lean Yu & Jian Ma & Kin Keung Lai & Shouyang Wang & Shanying Xu, 2011. "Forecasting The Crude Oil Spot Price By Wavelet Neural Networks Using Oecd Petroleum Inventory Levels," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 281-297.
  8. Wang, Shuai & Yu, Lean & Tang, Ling & Wang, Shouyang, 2011. "A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China," Energy, Elsevier, vol. 36(11), pages 6542-6554.
  9. Yejing Bao & Xun Zhang & Lean Yu & Kin Keung Lai & Shouyang Wang, 2011. "An Integrated Model Using Wavelet Decomposition And Least Squares Support Vector Machines For Monthly Crude Oil Prices Forecasting," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 299-311.
  10. Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring," European Journal of Operational Research, Elsevier, vol. 195(3), pages 942-959, June.
  11. Jianping Li & Lean Yu & Wallenius Jyrki, 2009. "Guest Editor'S Introduction: Risk Measurement And Risk Correlation Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 625-627.
  12. Lean Yu & Shouyang Wang & Jie Cao, 2009. "A Modified Least Squares Support Vector Machine Classifier With Application To Credit Risk Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 697-710.
  13. Zhang, Xun & Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method," Energy Economics, Elsevier, vol. 31(5), pages 768-778, September.
  14. Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2008. "Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm," Energy Economics, Elsevier, vol. 30(5), pages 2623-2635, September.
  15. Wei Huang & Kin Keung Lai & Yoshiteru Nakamori & Shouyang Wang & Lean Yu, 2007. "Neural Networks In Finance And Economics Forecasting," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 113-140.
  16. Lean Yu & Kin Keung Lai & Shou-Yang Wang, 2006. "Currency Crisis Forecasting With General Regression Neural Networks," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 437-454.
  17. Kin Keung Lai & Shou-Yang Wang & Lean Yu, 2006. "Guest Editors' Introduction: Progress In Risk Management," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 419-420.

Most cited item

Most downloaded item (past 12 months)

Access and download statistics for all items

Co-authorship network on CollEc

For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Lean Yu should log into the RePEc Author Service

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.