3 papers
math.OC2026
Maximum Tsallis Entropy Distributions for Robust and Efficient Sparse Learning from Correlated Data
Kai Yang, Masoud Asgharian, Celia M. T. Greenwood
This paper addresses the limitations of Gaussian distribution assumptions in statistical sparse learning, particularly in modeling correlated and heterogeneous data. Conventional G…
stat.ME2025
Multivariate regression with missing response data for modelling regional DNA methylation QTLs
Shomoita Alam, Yixiao Zeng, Sasha Bernatsky +5
Identifying genetic regulators of DNA methylation (mQTLs) with multivariate models enhances statistical power, but is challenged by missing data from bisulfite sequencing. Standard…
stat.ML2024
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data
Kai Yang, Masoud Asgharian, Nikhil Bhagwat +2
In this paper, we introduce fastHDMI, a Python package designed for efficient variable screening in high-dimensional datasets, particularly neuroimaging data. This work pioneers th…