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of 205
pro vyhledávání: '"Vitelli, Valeria"'
A novel mixture cure frailty model is introduced for handling censored survival data. Mixture cure models are preferable when the existence of a cured fraction among patients can be assumed. However, such models are heavily underexplored: frailty str
Externí odkaz:
http://arxiv.org/abs/2401.06575
Data in the form of rankings, ratings, pair comparisons or clicks are frequently collected in diverse fields, from marketing to politics, to understand assessors' individual preferences. Combining such preference data with features associated with th
Externí odkaz:
http://arxiv.org/abs/2312.12966
We propose the Pseudo-Mallows distribution over the set of all permutations of $n$ items, to approximate the posterior distribution with a Mallows likelihood. The Mallows model has been proven to be useful for recommender systems where it can be used
Externí odkaz:
http://arxiv.org/abs/2205.13911
Variable selection is crucial in high-dimensional omics-based analyses, since it is biologically reasonable to assume only a subset of non-noisy features contributes to the data structures. However, the task is particularly hard in an unsupervised se
Externí odkaz:
http://arxiv.org/abs/2107.05072
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 data is available. We propose a practical computational framework for
Externí odkaz:
http://arxiv.org/abs/2012.02635
Autor:
Vitelli, Valeria
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 detecting the parts of the curves' domains where their grouping structure
Externí odkaz:
http://arxiv.org/abs/1912.00687
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 framework. The Mallows model is a well-known model, grounded on the idea
Externí odkaz:
http://arxiv.org/abs/1902.08432
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We are interested in learning how listeners perceive sounds as having human origins. An experiment was performed with a series of electronically synthesized sounds, and listeners were asked to compare them in pairs. We propose a Bayesian probabilisti
Externí odkaz:
http://arxiv.org/abs/1705.08805
Autor:
Floriello, Davide, Vitelli, Valeria
We consider the problem of clustering functional data while jointly selecting the most relevant features for classification. This problem has never been tackled before in the functional data context, and it requires a proper definition of the concept
Externí odkaz:
http://arxiv.org/abs/1501.04755