3 papers
stat.OT2026
Functional Liu Regression for Scalar-on-Functional Models in High-Dimensional Settings
Shaista Ashraf, Stephen Becker, Farrukh Javed +1
This study develops a functional Liu-type shrinkage estimator (fLiu) for scalar-on-function regression in the presence of strong multicollinearity and high-dimensional functional p…
stat.ME2026
Partition-Based Functional Ridge Regression for High-Dimensional Data
Shaista Ashraf, Ismail Shah, Farrukh Javed
This paper proposes a partition-based functional ridge regression framework to address multicollinearity, overfitting, and interpretability in high-dimensional functional linear mo…
stat.ME2025
Exponentially weighted moving average chart using zero-inflated negative binomial distribution
Ali Abbas, Sajid Ali, Ismail Shah
Zero-inflated models are frequently used to deal with data having many zeros. A commonly used model for over-dispersed data containing zeros is known as the zero-inflated Poisson m…