• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 18 matches

• 2023
• 
  Hanbing Zhu, Yuanyuan Zhang, Yehua Li, Heng Lian:
  Semiparametric function-on-function quantile regression model with dynamic single-index interactions. Comput. Stat. Data Anal. 182: 107727 (2023)
• 
  C. N. Kuruwita:
  Variable selection in the single-index quantile regression model with high-dimensional covariates. Commun. Stat. Simul. Comput. 52(3): 1120-1132 (2023)
• 2022
• 
  Hongxia Xu, Guoliang Fan, Jinchang Li:
  Single-Index Quantile Regression with Left Truncated Data. J. Syst. Sci. Complex. 35(5): 1963-1987 (2022)
• 2021
• 
  Tianhai Zu, Yan Yu:
  SIQR: An R Package for Single-index Quantile Regression. R J. 13(2): 398 (2021)
• 2020
• 
  Rahim Alhamzawi, Haithem Taha Mohammad Ali:
  Bayesian single-index quantile regression for ordinal data. Commun. Stat. Simul. Comput. 49(5): 1306-1320 (2020)
• 
  Rong Jiang, Keming Yu:
  Single-index composite quantile regression for massive data. J. Multivar. Anal. 180: 104669 (2020)
• 
  Peijun Sang, Jiguo Cao:
  Functional single-index quantile regression models. Stat. Comput. 30(4): 771-781 (2020)
• 2019
• 
  Yang Yu, Zhihong Zou, Shanshan Wang:
  Bayesian quantile regression and variable selection for partial linear single-index model: Using free knot spline. Commun. Stat. Simul. Comput. 48(5): 1429-1449 (2019)
• 
  Huilan Liu, Hu Yang, Changgen Peng:
  Weighted composite quantile regression for single index model with missing covariates at random. Comput. Stat. 34(4): 1711-1740 (2019)
• 2017
• 
  Huilan Liu, Hu Yang:
  Estimation and variable selection in single-index composite quantile regression. Commun. Stat. Simul. Comput. 46(9): 7022-7039 (2017)
• 
  Jing Yang, Hu Yang:
  Quantile regression and variable selection for single-index varying-coefficient models. Commun. Stat. Simul. Comput. 46(6): 4637-4653 (2017)
• 2016
• 
  C. N. Kuruwita:
  Non-iterative Estimation and Variable Selection in the Single-index Quantile Regression Model. Commun. Stat. Simul. Comput. 45(10): 3615-3628 (2016)
• 
  Jing Sun:
  Composite quantile regression for single-index models with asymmetric errors. Comput. Stat. 31(1): 329-351 (2016)
• 
  Eliana Christou, Michael G. Akritas:
  Single index quantile regression for heteroscedastic data. J. Multivar. Anal. 150: 169-182 (2016)
• 
  Rong Jiang, Wei-Min Qian, Zhan-Gong Zhou:
  Weighted composite quantile regression for single-index models. J. Multivar. Anal. 148: 34-48 (2016)
• 2013
• 
  Rong Jiang, Zhan-Gong Zhou, Wei-Min Qian, Yong Chen:
  Two step composite quantile regression for single-index models. Comput. Stat. Data Anal. 64: 180-191 (2013)
• 
  Yuao Hu, Robert B. Gramacy, Heng Lian:
  Bayesian quantile regression for single-index models. Stat. Comput. 23(4): 437-454 (2013)
• 2010
• 
  Tracy Zhou Wu, Keming Yu, Yan Yu:
  Single-index quantile regression. J. Multivar. Anal. 101(7): 1607-1621 (2010)