IDEAS home Printed from https://ideas.repec.org/f/phe604.html
   My authors  Follow this author

Yi He

Personal Details

First Name:Yi
Middle Name:
Last Name:He
Suffix:
RePEc Short-ID:phe604
[This author has chosen not to make the email address public]
http://yihe.nl

Affiliation

Afdeling Kwantitatieve Economie
Faculteit Economie en Bedrijfskunde
Universiteit van Amsterdam

Amsterdam, Netherlands
http://www.uva.nl/over-de-uva/organisatie/organogram/content/faculteiten/faculteit-economie-en-bedrijfskunde/afdeling-kwantitatieve-economie-ke/afdeling-kwantitatieve-economie-ke.html
RePEc:edi:keuvanl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Yi He & Sombut Jaidee & Jiti Gao, 2020. "Most Powerful Test against High Dimensional Free Alternatives," Monash Econometrics and Business Statistics Working Papers 13/20, Monash University, Department of Econometrics and Business Statistics.
  2. He, Yi, 2016. "Multivariate extreme value statistics for risk assessment," Other publications TiSEM 119cc8b9-5198-41d6-a648-f, Tilburg University, School of Economics and Management.
  3. He, Y. & Einmahl, J.H.J., 2014. "Estimation of Extreme Depth-Based Quantile Regions," Discussion Paper 2014-035, Tilburg University, Center for Economic Research.

Articles

  1. Yi He & Yanxi Hou & Liang Peng & Jiliang Sheng, 2019. "Statistical Inference for a Relative Risk Measure," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 301-311, 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.

Working papers

  1. He, Y. & Einmahl, J.H.J., 2014. "Estimation of Extreme Depth-Based Quantile Regions," Discussion Paper 2014-035, Tilburg University, Center for Economic Research.

    Cited by:

    1. Einmahl, John & Yang, Fan & Zhou, Chen, 2018. "Testing the Multivariate Regular Variation Model," Other publications TiSEM dd3c4dd0-7181-40f3-af44-f, Tilburg University, School of Economics and Management.
    2. Ebers Broughel, Anna & Hampl, Nina, 2018. "Community financing of renewable energy projects in Austria and Switzerland: Profiles of potential investors," Energy Policy, Elsevier, vol. 123(C), pages 722-736.
    3. Chen, Simiao & Prettner, Klaus & Kuhn, Michael & Bloom, David E., 2021. "The economic burden of COVID-19 in the United States: Estimates and projections under an infection-based herd immunity approach," The Journal of the Economics of Ageing, Elsevier, vol. 20(C).
    4. Singh, Ripudaman & Kemausuor, Francis & Wooldridge, Margaret, 2018. "Locational analysis of cellulosic ethanol production and distribution infrastructure for the transportation sector in Ghana," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 393-406.
    5. Feng, Xiang-Nan & Wang, Yifan & Lu, Bin & Song, Xin-Yuan, 2017. "Bayesian regularized quantile structural equation models," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 234-248.
    6. Felten, Björn & Weber, Christoph, 2018. "The value(s) of flexible heat pumps – Assessment of technical and economic conditions," Applied Energy, Elsevier, vol. 228(C), pages 1292-1319.

Articles

  1. Yi He & Yanxi Hou & Liang Peng & Jiliang Sheng, 2019. "Statistical Inference for a Relative Risk Measure," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 301-311, April.

    Cited by:

    1. Shiqing Ling & Ke Zhu, 2022. "Self-Weighted LSE and Residual-Based QMLE of ARMA-GARCH Models," JRFM, MDPI, vol. 15(2), pages 1-17, February.
    2. Sun, Hongfang & Chen, Yu & Hu, Taizhong, 2022. "Statistical inference for tail-based cumulative residual entropy," Insurance: Mathematics and Economics, Elsevier, vol. 103(C), pages 66-95.

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.
  1. NEP-ECM: Econometrics (3) 2014-12-29 2016-12-18 2020-05-04. Author is listed
  2. NEP-ORE: Operations Research (2) 2014-12-29 2020-05-04. Author is listed
  3. NEP-RMG: Risk Management (2) 2014-12-29 2016-12-18. Author is listed
  4. NEP-ETS: Econometric Time Series (1) 2020-05-04. Author is listed

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Yi He 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.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.