Yang, Yaohong; Wang, Lei Communication-efficient sparse composite quantile regression for distributed data. (English) Zbl 1519.62010 Metrika 86, No. 3, 261-283 (2023). MSC: 62G08 62R07 PDFBibTeX XMLCite \textit{Y. Yang} and \textit{L. Wang}, Metrika 86, No. 3, 261--283 (2023; Zbl 1519.62010) Full Text: DOI
Sahu, Santosh Kumar; Bagchi, Prantik; Kumar, Ajay; Tan, Kim Hua Technology, price instruments and energy intensity: a study of firms in the manufacturing sector of the Indian economy. (English) Zbl 1494.91105 Ann. Oper. Res. 313, No. 1, 319-339 (2022). MSC: 91B74 91B38 62P20 PDFBibTeX XMLCite \textit{S. K. Sahu} et al., Ann. Oper. Res. 313, No. 1, 319--339 (2022; Zbl 1494.91105) Full Text: DOI
Wu, Xiaofei; Liang, Rongmei; Yang, Hu Penalized and constrained LAD estimation in fixed and high dimension. (English) Zbl 07504784 Stat. Pap. 63, No. 1, 53-95 (2022). MSC: 62-XX PDFBibTeX XMLCite \textit{X. Wu} et al., Stat. Pap. 63, No. 1, 53--95 (2022; Zbl 07504784) Full Text: DOI
Benítez-Peña, Sandra; Carrizosa, Emilio; Guerrero, Vanesa; Jiménez-Gamero, M. Dolores; Martín-Barragán, Belén; Molero-Río, Cristina; Ramírez-Cobo, Pepa; Romero Morales, Dolores; Sillero-Denamiel, M. Remedios On sparse ensemble methods: an application to short-term predictions of the evolution of COVID-19. (English) Zbl 1489.62237 Eur. J. Oper. Res. 295, No. 2, 648-663 (2021). MSC: 62J99 68T05 90C90 92D30 PDFBibTeX XMLCite \textit{S. Benítez-Peña} et al., Eur. J. Oper. Res. 295, No. 2, 648--663 (2021; Zbl 1489.62237) Full Text: DOI
Zhang, Yingying; Lian, Heng; Li, Guodong; Zhu, Zhongyi Functional additive quantile regression. (English) Zbl 1475.62150 Stat. Sin. 31, No. 3, 1331-1351 (2021). MSC: 62G08 62R10 62H25 65D07 62P30 PDFBibTeX XMLCite \textit{Y. Zhang} et al., Stat. Sin. 31, No. 3, 1331--1351 (2021; Zbl 1475.62150) Full Text: DOI
Zhang, Likun; del Castillo, Enrique; Berglund, Andrew J.; Tingley, Martin P.; Govind, Nirmal Computing confidence intervals from massive data via penalized quantile smoothing splines. (English) Zbl 1504.62064 Comput. Stat. Data Anal. 144, Article ID 106885, 25 p. (2020). MSC: 62G15 62G08 62R07 PDFBibTeX XMLCite \textit{L. Zhang} et al., Comput. Stat. Data Anal. 144, Article ID 106885, 25 p. (2020; Zbl 1504.62064) Full Text: DOI
Liu, Yongxin; Zeng, Peng; Lin, Lu Generalized \(\ell_1\)-penalized quantile regression with linear constraints. (English) Zbl 1507.62118 Comput. Stat. Data Anal. 142, Article ID 106819, 14 p. (2020). MSC: 62-08 62G08 62J05 PDFBibTeX XMLCite \textit{Y. Liu} et al., Comput. Stat. Data Anal. 142, Article ID 106819, 14 p. (2020; Zbl 1507.62118) Full Text: DOI
Berg, Emily; Lee, Danhyang Small area prediction of quantiles for zero-inflated data and an informative sample design. (English) Zbl 07660202 Stat. Theory Relat. Fields 3, No. 2, 114-128 (2019). MSC: 62-XX PDFBibTeX XMLCite \textit{E. Berg} and \textit{D. Lee}, Stat. Theory Relat. Fields 3, No. 2, 114--128 (2019; Zbl 07660202) Full Text: DOI
Berg, Emily; Lee, Danhyang Prediction of small area quantiles for the conservation effects assessment project using a mixed effects quantile regression model. (English) Zbl 1435.62410 Ann. Appl. Stat. 13, No. 4, 2158-2188 (2019). MSC: 62P12 62G08 62G09 PDFBibTeX XMLCite \textit{E. Berg} and \textit{D. Lee}, Ann. Appl. Stat. 13, No. 4, 2158--2188 (2019; Zbl 1435.62410) Full Text: DOI Euclid
Parker, Thomas Asymptotic inference for the constrained quantile regression process. (English) Zbl 1456.62076 J. Econom. 213, No. 1, 174-189 (2019). MSC: 62G08 62E20 62J05 PDFBibTeX XMLCite \textit{T. Parker}, J. Econom. 213, No. 1, 174--189 (2019; Zbl 1456.62076) Full Text: DOI
Schulze Waltrup, Linda; Kauermann, Göran Smooth expectiles for panel data using penalized splines. (English) Zbl 1505.62362 Stat. Comput. 27, No. 1, 271-282 (2017). MSC: 62-08 62G08 PDFBibTeX XMLCite \textit{L. Schulze Waltrup} and \textit{G. Kauermann}, Stat. Comput. 27, No. 1, 271--282 (2017; Zbl 1505.62362) Full Text: DOI
Wheeler, Matthew W.; Shao, Kan; Bailer, A. John Quantile benchmark dose estimation for continuous endpoints. (English) Zbl 1525.62232 Environmetrics 26, No. 5, 363-372 (2015). MSC: 62P12 PDFBibTeX XMLCite \textit{M. W. Wheeler} et al., Environmetrics 26, No. 5, 363--372 (2015; Zbl 1525.62232) Full Text: DOI
Qu, Zhongjun; Yoon, Jungmo Nonparametric estimation and inference on conditional quantile processes. (English) Zbl 1331.62204 J. Econom. 185, No. 1, 1-19 (2015). MSC: 62G05 62G20 62P20 PDFBibTeX XMLCite \textit{Z. Qu} and \textit{J. Yoon}, J. Econom. 185, No. 1, 1--19 (2015; Zbl 1331.62204) Full Text: DOI
Blundell, Richard; Kristensen, Dennis; Matzkin, Rosa Bounding quantile demand functions using revealed preference inequalities. (English) Zbl 1298.91101 J. Econom. 179, No. 2, 112-127 (2014). MSC: 91B42 62G05 62G20 62P20 91B82 PDFBibTeX XMLCite \textit{R. Blundell} et al., J. Econom. 179, No. 2, 112--127 (2014; Zbl 1298.91101) Full Text: DOI
Schnabel, Sabine K.; Eilers, Paul H. C. Simultaneous estimation of quantile curves using quantile sheets. (English) Zbl 1443.62107 AStA, Adv. Stat. Anal. 97, No. 1, 77-87 (2013). MSC: 62G08 PDFBibTeX XMLCite \textit{S. K. Schnabel} and \textit{P. H. C. Eilers}, AStA, Adv. Stat. Anal. 97, No. 1, 77--87 (2013; Zbl 1443.62107) Full Text: DOI
Galvao, Antonio F. jun.; Montes-Rojas, Gabriel; Olmo, Jose Threshold quantile autoregressive models. (English) Zbl 1290.62072 J. Time Ser. Anal. 32, No. 3, 253-267 (2011). MSC: 62M10 62F12 62P20 PDFBibTeX XMLCite \textit{A. F. Galvao jun.} et al., J. Time Ser. Anal. 32, No. 3, 253--267 (2011; Zbl 1290.62072) Full Text: DOI
Wang, You-Gan; Shao, Quanxi; Zhu, Min Quantile regression without the curse of unsmoothness. (English) Zbl 1453.62241 Comput. Stat. Data Anal. 53, No. 10, 3696-3705 (2009). MSC: 62-08 62G08 PDFBibTeX XMLCite \textit{Y.-G. Wang} et al., Comput. Stat. Data Anal. 53, No. 10, 3696--3705 (2009; Zbl 1453.62241) Full Text: DOI
Ng, Pin; Maechler, Martin A fast and efficient implementation of qualitatively constrained quantile smoothing splines. (English) Zbl 1486.62118 Stat. Model. 7, No. 4, 315-328 (2007). MSC: 62G08 62-08 PDFBibTeX XMLCite \textit{P. Ng} and \textit{M. Maechler}, Stat. Model. 7, No. 4, 315--328 (2007; Zbl 1486.62118) Full Text: DOI
Koenker, Roger; Ng, Pin A Frisch-Newton algorithm for sparse quantile regression. (English) Zbl 1097.62028 Acta Math. Appl. Sin., Engl. Ser. 21, No. 2, 225-236 (2005). MSC: 62G08 90C05 65C60 65F50 62J05 90C06 PDFBibTeX XMLCite \textit{R. Koenker} and \textit{P. Ng}, Acta Math. Appl. Sin., Engl. Ser. 21, No. 2, 225--236 (2005; Zbl 1097.62028) Full Text: DOI