1 citations · 1 across the 3 of their papers we have counts for
4 papers · 1 filter
Robust spatial scalar-on-function regression: A Fisher-consistent redescending M-estimation approach
Muge Mutis, Ufuk Beyaztas, Han Lin Shang
We develop a Fisher-consistent redescending robust estimator for the spatial scalar-on-function regression model, where a scalar response depends on both a functional predictor and…
Spatial Scalar-on-Function Quantile Regression Model
Muge Mutis, Ufuk Beyaztas, Filiz Karaman +1
This paper introduces a novel spatial scalar-on-function quantile regression model that extends classical scalar-on-function models to account for spatial dependence and heterogene…
On function-on-function linear quantile regression
Muge Mutis, Ufuk Beyaztas, Filiz Karaman +1
We present two innovative functional partial quantile regression algorithms designed to accurately and efficiently estimate the regression coefficient function within the function-…
A robust scalar-on-function logistic regression for classification
Muge Mutis, Ufuk Beyaztas, Gulhayat Golbasi Simsek +1
Scalar-on-function logistic regression, where the response is a binary outcome and the predictor consists of random curves, has become a general framework to explore a linear relat…