# An Alternative Approach to Functional Linear Partial Quantile Regression

@article{Yu2017AnAA, title={An Alternative Approach to Functional Linear Partial Quantile Regression}, author={Dengdeng Yu and Linglong Kong and Ivan Mizera}, journal={arXiv: Statistics Theory}, year={2017} }

We have previously proposed the partial quantile regression (PQR) prediction procedure for functional linear model by using partial quantile covariance techniques and developed the simple partial quantile regression (SIMPQR) algorithm to efficiently extract PQR basis for estimating functional coefficients. However, although the PQR approach is considered as an attractive alternative to projections onto the principal component basis, there are certain limitations to uncovering the corresponding…

## One Citation

Specification Testing in Functional Quantile Regression Models with an Application to Income Differences in Germany

- Economics, Mathematics
- 2020

We propose a novel consistent specification test for quantile regression models where we allow the covariate effects to be quantile dependent and nonlinear. To achieve this, we parameterize the…

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