Bingling Wang
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First Name: | Bingling |
Middle Name: | |
Last Name: | Wang |
Suffix: | |
RePEc Short-ID: | pwa971 |
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http://hu.berlin/Bingling-Wang | |
Affiliation
Center for Applied Statistics and Econometrics (CASE)
Humboldt-Universität Berlin
Berlin, Germanyhttp://www.case.hu-berlin.de/
RePEc:edi:cahubde (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Lin, Min-Bin & Wang, Bingling & Bocart, Fabian Y.R.P. & Hafner, Christian M. & Härdle, Wolfgang K., 2022. "DAI Digital Art Index : a robust price index for heterogeneous digital assets," LIDAM Discussion Papers ISBA 2022036, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang, 2021.
"K-expectiles clustering,"
IRTG 1792 Discussion Papers
2021-003, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang Karl, 2022. "K-expectiles clustering," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
- Wang, Weining & Yu, Lining & Wang, Bingling, 2020. "Tail Event Driven Factor Augmented Dynamic Model," IRTG 1792 Discussion Papers 2020-022, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
Articles
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang Karl, 2022.
"K-expectiles clustering,"
Journal of Multivariate Analysis, Elsevier, vol. 189(C).
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang, 2021. "K-expectiles clustering," IRTG 1792 Discussion Papers 2021-003, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
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.Working papers
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang, 2021.
"K-expectiles clustering,"
IRTG 1792 Discussion Papers
2021-003, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang Karl, 2022. "K-expectiles clustering," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
Cited by:
- Aneiros, Germán & Horová, Ivana & Hušková, Marie & Vieu, Philippe, 2022. "On functional data analysis and related topics," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
- Häusler, Konstantin & Xia, Hongyu, 2021.
"Indices on cryptocurrencies: An evaluation,"
IRTG 1792 Discussion Papers
2021-014, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Konstantin Häusler & Hongyu Xia, 2022. "Indices on cryptocurrencies: an evaluation," Digital Finance, Springer, vol. 4(2), pages 149-167, September.
- Konstantin Hausler & Wolfgang Karl Hardle, 2021. "Cryptocurrency Dynamics: Rodeo or Ascot?," Papers 2103.12461, arXiv.org, revised Jan 2022.
- Häusler, Konstantin & Härdle, Wolfgang, 2021. "Rodeo or ascot: Which hat to wear at the crypto race?," IRTG 1792 Discussion Papers 2021-007, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
Articles
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang Karl, 2022.
"K-expectiles clustering,"
Journal of Multivariate Analysis, Elsevier, vol. 189(C).
See citations under working paper version above.Sorry, no citations of articles recorded.
- Wang, Bingling & Li, Yingxing & Härdle, Wolfgang, 2021. "K-expectiles clustering," IRTG 1792 Discussion Papers 2021-003, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
More information
Research fields, statistics, top rankings, if available.Statistics
Access and download statistics for all items
Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-RMG: Risk Management (2) 2021-03-08 2021-05-03. Author is listed
- NEP-CMP: Computational Economics (1) 2021-05-03. Author is listed
- NEP-CUL: Cultural Economics (1) 2023-02-13. Author is listed
- NEP-ECM: Econometrics (1) 2021-05-03. Author is listed
- NEP-ETS: Econometric Time Series (1) 2021-03-08. Author is listed
- NEP-ORE: Operations Research (1) 2021-05-03. Author is listed
- NEP-PAY: Payment Systems and Financial Technology (1) 2023-02-13. Author is listed
Corrections
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