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Deliang Dai

Personal Details

First Name:Deliang
Middle Name:
Last Name:Dai
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RePEc Short-ID:pda962
[This author has chosen not to make the email address public]

Affiliation

(50%) Institutionen för Nationalekonomi och Statistik
Ekonomihögskolan
Linnéuniversitet

Kalmar/Växjö, Sweden
https://lnu.se/mot-linneuniversitetet/Organisation/ekonomihogskolan/mot-ekonomihogskolan/nationalekonomi/
RePEc:edi:inlnuse (more details at EDIRC)

(50%) Ekonomihögskolan
Linnéuniversitet

Kalmar/Växjö, Sweden
https://lnu.se/mot-linneuniversitetet/Organisation/ekonomihogskolan/
RePEc:edi:ehvhvse (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Liang, Yuli & Hao, Chengcheng & Dai, Deliang, 2024. "Two-sample intraclass correlation coefficient tests for matrix-valued data," Working Papers in Economics and Statistics 6/2024, Linnaeus University, School of Business and Economics, Department of Economics and Statistics.
  2. Dai, Deliang & Holgersson, Thomas & Karlsson, Peter, 2014. "Estimating Individual Mahalanobis Distance in High-Dimensional Data," Working Paper Series in Economics and Institutions of Innovation 362, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  3. Holgersson, Thomas & Dai, Deliang, 2014. "High-dimensional CLTs for individual Mahalanobis distances," Working Paper Series in Economics and Institutions of Innovation 361, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.

Articles

  1. Deliang Dai & Yuli Liang, 2021. "High-Dimensional Mahalanobis Distances of Complex Random Vectors," Mathematics, MDPI, vol. 9(16), pages 1-12, August.
  2. Deliang Dai, 2020. "Mahalanobis Distances on Factor Model Based Estimation," Econometrics, MDPI, vol. 8(1), pages 1-11, March.
  3. D. Dai & T. Holgersson & P. Karlsson, 2017. "Expected and unexpected values of individual Mahalanobis distances," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(18), pages 8999-9006, September.

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. Holgersson, Thomas & Dai, Deliang, 2014. "High-dimensional CLTs for individual Mahalanobis distances," Working Paper Series in Economics and Institutions of Innovation 361, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.

    Cited by:

    1. Deliang Dai & Yuli Liang, 2021. "High-Dimensional Mahalanobis Distances of Complex Random Vectors," Mathematics, MDPI, vol. 9(16), pages 1-12, August.

Articles

  1. D. Dai & T. Holgersson & P. Karlsson, 2017. "Expected and unexpected values of individual Mahalanobis distances," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(18), pages 8999-9006, September.

    Cited by:

    1. Deliang Dai & Yuli Liang, 2021. "High-Dimensional Mahalanobis Distances of Complex Random Vectors," Mathematics, MDPI, vol. 9(16), pages 1-12, August.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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) 2014-05-17 2014-05-17 2024-04-22

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