3 papers
stat.ME2024
Group COMBSS: Group Selection via Continuous Optimization
Anant Mathur, Sarat Moka, Benoit Liquet +1
We present a new optimization method for the group selection problem in linear regression. In this problem, predictors are assumed to have a natural group structure and the goal is…
stat.ME2024
Best Subset Solution Path for Linear Dimension Reduction Models using Continuous Optimization
Benoit Liquet, Sarat Moka, Samuel Muller
The selection of best variables is a challenging problem in supervised and unsupervised learning, especially in high dimensional contexts where the number of variables is usually m…
stat.ME2024
Spatial Autoregressive Model on a Dirichlet Distribution
Teo Nguyen, Sarat Moka, Kerrie Mengersen +1
Compositional data find broad application across diverse fields due to their efficacy in representing proportions or percentages of various components within a whole. Spatial depen…