Surrogate method for partial association between mixed data with application to well-being survey analysis-Reference-Cited by-同舟云学术

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Surrogate method for partial association between mixed data with application to well-being survey analysis

Published:2024-09-01 Issue:3 Volume:18 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Li Shaobo¹,Fan Zhaohu²,Liu Ivy³,Morrison Philip S.⁴,Liu Dungang⁵

Affiliation:

1. School of Business, University of Kansas

2. Scheller College of Business, Georgia Institute of Technology

3. School of Mathematics and Statistics, Victoria University of Wellington

4. School of Geography, Environment and Earth Sciences, Victoria University of Wellington

5. Lindner College of Business, University of Cincinnati

Publisher

Institute of Mathematical Statistics

Reference69 articles.

1. Kendall, M. G. (1938). A new measure of rank correlation. Biometrika 30 81–93.

2. SONG, P. X.-K., LI, M. and YUAN, Y. (2009). Joint regression analysis of correlated data using Gaussian copulas. Biometrics 65 60–68.

3. Cox, D. R. and Snell, E. J. (1968). A general definition of residuals. J. Roy. Statist. Soc. Ser. B 30 248–275.

4. FAN, J., LIU, H., NING, Y. and ZOU, H. (2017). High dimensional semiparametric latent graphical model for mixed data. J. R. Stat. Soc. Ser. B. Stat. Methodol. 79 405–421.

5. McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, 2nd ed. Monographs on Statistics and Applied Probability. CRC Press, London.

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