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The yaglm package aims to make the broader ecosystem of modern generalized linear models accessible to data analysts and researchers. This ecosystem encompasses a range of loss functions (e.g. linear, logistic, quantile regression), constraints (e.g.
Externí odkaz:
http://arxiv.org/abs/2110.05567
Autor:
van de Geer, Sara
We study logistic regression with total variation penalty on the canonical parameter and show that the resulting estimator satisfies a sharp oracle inequality: the excess risk of the estimator is adaptive to the number of jumps of the underlying sign
Externí odkaz:
http://arxiv.org/abs/2003.02678
We consider the recovery of regression coefficients, denoted by $\boldsymbol{\beta}_0$, for a single index model (SIM) relating a binary outcome $Y$ to a set of possibly high dimensional covariates $\boldsymbol{X}$, based on a large but 'unlabeled' d
Externí odkaz:
http://arxiv.org/abs/1701.05230
Publikováno v:
Statistical Papers. Jul2024, Vol. 65 Issue 5, p2719-2749. 31p.
Autor:
Mammadova, Ulduz1 (AUTHOR) ulduzozel@gmail.com, Özkale, M. Revan1 (AUTHOR)
Publikováno v:
Statistical Papers. Apr2024, Vol. 65 Issue 2, p597-643. 47p.
Publikováno v:
Quality & Quantity; Dec2023 Suppl 2, Vol. 57, p217-246, 30p
NON-ASYMPTOTIC ORACLE INEQUALITIES FOR THE LASSO AND GROUP LASSO IN HIGH DIMENSIONAL LOGISTIC MODEL.
Autor:
KWEMOU, MARIUS1,2 marius.kwemou@gmail.com
Publikováno v:
ESAIM: Probability & Statistics. 2016, Vol. 20, p309-331. 23p.
Autor:
Wang, Xiuli1 (AUTHOR), Wang, Mingqiu1 (AUTHOR) wmq0829@gmail.com
Publikováno v:
Journal of Applied Statistics. Apr2016, Vol. 43 Issue 5, p796-809. 14p.
Autor:
Rauschenberger, Armin, Ciocănea-Teodorescu, Iuliana, Jonker, Marianne A., Menezes, Renée X., van de Wiel, Mark A.
Publikováno v:
Advances in Data Analysis & Classification; Sep2020, Vol. 14 Issue 3, p571-588, 18p
Autor:
Algamal, Zakariya Yahya
Publikováno v:
Statistics, Optimization & Information Computing; Jun2019, Vol. 7 Issue 2, p520-529, 10p