research
∙
05/27/2022
Pseudo-Mallows for Efficient Probabilistic Preference Learning
We propose the Pseudo-Mallows distribution over the set of all permutati...
share
research
∙
07/11/2021
Rank-based Bayesian variable selection for genome-wide transcriptomic analyses
Variable selection is crucial in high-dimensional omics-based analyses, ...
research
∙
12/04/2020
Latent function-on-scalar regression models for observed sequences of binary data: a restricted likelihood approach
In this paper, we study a functional regression setting where the random...
research
∙
12/02/2019
A novel framework for joint sparse clustering and alignment of functional data
We propose a novel framework for sparse functional clustering that also ...
research
∙
02/22/2019