Functional linear quantile regression on a two-dimensional domain-Reference-Cited by-同舟云学术

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Functional linear quantile regression on a two-dimensional domain

Published:2024-08-01 Issue:3 Volume:30 Page:
ISSN:1350-7265
Container-title:Bernoulli
language:
Short-container-title:Bernoulli

Author:

Zhang Nan¹,Liu Peng²,Kong Linglong³,Jiang Bei³,Huang Jianhua Z.⁴

Affiliation:

1. School of Data Science, Fudan University, Shanghai, China

2. School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, UK

3. Department of Mathematical and Statistical Sciences University of Alberta, Edmonton, Canada

4. School of Data Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China

Publisher

Bernoulli Society for Mathematical Statistics and Probability

Reference74 articles.

1. van der Vaart, A.W. and Wellner, J.A. (1996). Weak Convergence and Empirical Processes. Springer Series in Statistics. New York: Springer. 10.1007/978-1-4757-2545-2

2. Wainwright, M.J. (2019). High-Dimensional Statistics: A Non-asymptotic Viewpoint. Cambridge Series in Statistical and Probabilistic Mathematics 48. Cambridge: Cambridge Univ. Press. 10.1017/9781108627771

3. Koenker, R. and Bassett, G. Jr. (1978). Regression quantiles. Econometrica 46 33–50. 10.2307/1913643

4. Cai, T.T. and Hall, P. (2006). Prediction in functional linear regression. Ann. Statist. 34 2159–2179. 10.1214/009053606000000830

5. Hall, P. and Horowitz, J.L. (2007). Methodology and convergence rates for functional linear regression. Ann. Statist. 35 70–91. 10.1214/009053606000000957

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