# A robust estimation for the extended t-process regression model

## TL;DR

This paper introduces a robust estimation method for the extended t-process regression model with functional data, ensuring reliable predictions and variable selection.

## Contribution

It develops a new robust estimation and variable selection procedure specifically for the extended t-process regression model with functional data.

## Key findings

- Estimates are consistent for the model.
- The method performs well in numerical studies.
- Predictions are reliable and robust.

## Abstract

Robust estimation and variable selection procedure are developed for the extended t-process regression model with functional data. Statistical properties such as consistency of estimators and predictions are obtained. Numerical studies show that the proposed method performs well.