15 citations · 69 across the 9 of their papers we have counts for
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Distributed inference for quantile regression processes
Stanislav Volgushev, Shih-Kang Chao, Guang Cheng
The increased availability of massive data sets provides a unique opportunity to discover subtle patterns in their distributions, but also imposes overwhelming computational challe…
Quantile Processes for Semi and Nonparametric Regression
Shih-Kang Chao, Stanislav Volgushev, Guang Cheng
A collection of quantile curves provides a complete picture of conditional distributions. Properly centered and scaled versions of estimated curves at various quantile levels give…
Confidence Corridors for Multivariate Generalized Quantile Regression
Shih-Kang Chao, Katharina Proksch, Holger Dette +1
We focus on the construction of confidence corridors for multivariate nonparametric generalized quantile regression functions. This construction is based on asymptotic results for…