High-dimensional generalized semiparametric model for longitudinal data

Autor: Taavoni, M., Arashi, M.

This paper considers the problem of estimation in the generalized semiparametric model for longitudinal data when the number of parameters diverges with the sample size. A penalization type of generalized estimating equation method is proposed, while

Externí odkaz: http://arxiv.org/abs/1909.08498

High-dimensional generalized semiparametric model for longitudinal data.

Autor: Taavoni, M.¹ (AUTHOR), Arashi, M.¹ (AUTHOR) arashi@um.ac.ir

Publikováno v: Statistics. Aug 2021, Vol. 55 Issue 4, p831-850. 20p.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Estimation in multivariate t $t$ linear mixed models for longitudinal data with multiple outputs: Application to PBCseq data analysis.

Autor: Taavoni M; Department of Statistic, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran., Arashi M; Department of Statistic, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.

Publikováno v: Biometrical journal. Biometrische Zeitschrift [Biom J] 2022 Mar; Vol. 64 (3), pp. 539-556. Date of Electronic Publication: 2021 Nov 25.

Robust Liu Estimator Used to Combat Some Challenges in Partially Linear Regression Model by Improving LTS Algorithm Using Semidefinite Programming.

Autor: Altukhaes, Waleed B.^1,2 (AUTHOR) waltokhaes@su.edu.sa, Roozbeh, Mahdi³ (AUTHOR) mahdi.roozbeh@semnan.ac.ir, Mohamed, Nur A.¹ (AUTHOR) mahdi.roozbeh@semnan.ac.ir

Publikováno v: Mathematics (2227-7390). Sep2024, Vol. 12 Issue 17, p2787. 23p.