65 citations · 70 across the 3 of their papers we have counts for
5 papers
Local inference for functional data on manifold domains using permutation tests
Niels Lundtorp Olsen, Alessia Pini, Simone Vantini
Pini and Vantini (2017) introduced the interval-wise testing procedure which performs local inference for functional data defined on an interval domain, where the output is an adju…
Learning block structured graphs in Gaussian graphical models
Alessandro Colombi, Raffaele Argiento, Lucia Paci +1
Within the framework of Gaussian graphical models, a prior distribution for the underlying graph is introduced to induce a block structure in the adjacency matrix of the graph and…
Gaussian graphical modeling for spectrometric data analysis
Laura Codazzi, Alessandro Colombi, Matteo Gianella +3
Motivated by the analysis of spectrometric data, we introduce a Gaussian graphical model for learning the dependence structure among frequency bands of the infrared absorbance spec…
False Discovery Rate for Functional Data
Niels Lundtorp Olsen, Alessia Pini, Simone Vantini
Since Benjamini and Hochberg introduced false discovery rate (FDR) in their seminal paper, this has become a very popular approach to the multiple comparisons problem. An increasin…
A Geometrical-Statistical approach to outlier removal for TDOA measuments
Marco Compagnoni, Alessia Pini, Antonio Canclini +4
The curse of outlier measurements in estimation problems is a well known issue in a variety of fields. Therefore, outlier removal procedures, which enables the identification of sp…