Ufuk Beyaztas

According to our database, Ufuk Beyaztas authored at least 11 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Locally sparse and robust partial least squares in scalar-on-function regression.

Sude Gurer, Han Lin Shang, Abhijit Mandal, Ufuk Beyaztas

Stat. Comput., October, 2024

2023

Robust Functional Linear Regression Models.

Ufuk Beyaztas, Han Lin Shang

R J., March, 2023

2022

Function-on-function linear quantile Regression.

Ufuk Beyaztas, Han Lin Shang

Math. Model. Anal., 2022

Functional linear models for interval-valued data.

Ufuk Beyaztas, Han Lin Shang, Abdel-Salam G. Abdel-Salam

Commun. Stat. Simul. Comput., 2022

A comparison of parameter estimation in function-on-function regression.

Ufuk Beyaztas, Han Lin Shang

Commun. Stat. Simul. Comput., 2022

Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction.

Suraj Kumar Bhagat, Tiyasha Tiyasha, Zainab Al-Khafaji, Patrick Laux, Ahmed A. Ewees, Tarik A. Rashid, Sinan Q. Salih, Roland Yonaba, Ufuk Beyaztas, Zaher Mundher Yaseen

Complex., 2022

2021

A partial least squares approach for function-on-function interaction regression.

Ufuk Beyaztas, Han Lin Shang

Comput. Stat., 2021

2017

New block bootstrap methods: Sufficient and/or ordered.

Beste H. Beyaztas, Esin Firuzan, Ufuk Beyaztas

Commun. Stat. Simul. Comput., 2017

2014

Delete-2 Jackknife-After-Bootstrap in Regression.

Ufuk Beyaztas, Aylin Alin

Qual. Reliab. Eng. Int., 2014

Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool.

Ufuk Beyaztas, Aylin Alin

Commun. Stat. Simul. Comput., 2014

2013

Jackknife-After-Bootstrap Method for Detection of Influential Observations in Linear Regression Models.

Ufuk Beyaztas, Aylin Alin

Commun. Stat. Simul. Comput., 2013