3 citations · 3 across the 2 of their papers we have counts for
3 papers
stat.ME2020
Latent function-on-scalar regression models for observed sequences of binary data: a restricted likelihood approach
Fatemeh Asgari, Mohammad Hossein Alamatsaz, Valeria Vitelli +1
In this paper, we study a functional regression setting where the random response curve is unobserved, and only its dichotomized version observed at a sequence of correlated binary…
stat.ME2019★ 3 cited
A novel framework for joint sparse clustering and alignment of functional data
Valeria Vitelli
We propose a novel framework for sparse functional clustering that also embeds an alignment step. Sparse functional clustering means finding a grouping structure while jointly dete…
stat.CO2019
BayesMallows: An R Package for the Bayesian Mallows Model
Øystein Sørensen, Marta Crispino, Qinghua Liu +1
BayesMallows is an R package for analyzing data in the form of rankings or preferences with the Mallows rank model, and its finite mixture extension, in a Bayesian probabilistic fr…