6 papers
Robust Functional Logistic Regression
Berkay Akturk, Ufuk Beyaztas, Han Lin Shang
Functional logistic regression is a popular model to capture a linear relationship between binary response and functional predictor variables. However, many methods used for parame…
Understanding How Network Geometry Influences Diffusion Processes in Complex Networks: A Focus on Cryptocurrency Blockchains and Critical Infrastructure Networks
S M Mustaquim, Asim K. Dey, Abhijit Mandal
This study provides essential insights into how diffusion processes unfold in complex networks, with a focus on cryptocurrency blockchains and infrastructure networks. The structur…
Robust Variable Selection in High-dimensional Nonparametric Additive Model
Suneel Babu Chatla, Abhijit Mandal
Additive models belong to the class of structured nonparametric regression models that do not suffer from the curse of dimensionality. Finding the additive components that are nonz…
Spatial function-on-function regression
Ufuk Beyaztas, Han Lin Shang, Gizel Bakicierler Sezer +3
We introduce a spatial function-on-function regression model to capture spatial dependencies in functional data by integrating spatial autoregressive techniques with functional pri…
Enhancing Spatial Functional Linear Regression with Robust Dimension Reduction Methods
Ufuk Beyaztas, Abhijit Mandal, Han Lin Shang
This paper introduces a robust estimation strategy for the spatial functional linear regression model using dimension reduction methods, specifically functional principal component…
Robust function-on-function interaction regression
Ufuk Beyaztas, Han Lin Shang, Abhijit Mandal
A function-on-function regression model with quadratic and interaction effects of the covariates provides a more flexible model. Despite several attempts to estimate the model's pa…