Alessia Pini
Alessia Pini
Department of Statistical Sciences, Catholic University of Sacred Heart
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Cited by
Cited by
Interval-wise testing for functional data
A Pini, S Vantini
Journal of Nonparametric Statistics 29 (2), 407-424, 2017
Integration and fixation preferences of human and mouse endogenous retroviruses uncovered with functional data analysis
R Campos-Sánchez, MA Cremona, A Pini, F Chiaromonte, KD Makova
PLoS computational biology 12 (6), e1004956, 2016
A geometrical–statistical approach to outlier removal for TDOA measurements
M Compagnoni, A Pini, A Canclini, P Bestagini, F Antonacci, S Tubaro, ...
IEEE Transactions on Signal Processing 65 (15), 3960-3975, 2017
The interval testing procedure: a general framework for inference in functional data analysis
A Pini, S Vantini
Biometrics 72 (3), 835-845, 2016
One-leg hop kinematics 20 years following anterior cruciate ligament rupture: data revisited using functional data analysis
K Hébert-Losier, A Pini, S Vantini, J Strandberg, K Abramowicz, L Schelin, ...
Clinical Biomechanics 30 (10), 1153-1161, 2015
Nonparametric inference for functional‐on‐scalar linear models applied to knee kinematic hop data after injury of the anterior cruciate ligament
K Abramowicz, CK Häger, A Pini, L Schelin, S Sjöstedt de Luna, S Vantini
Scandinavian Journal of Statistics 45 (4), 1036-1061, 2018
Machine perfusion techniques for liver transplantation-A meta-analysis of the first seven randomized-controlled trials
A Parente, F Tirotta, A Pini, J Eden, D Dondossola, TM Manzia, ...
Journal of Hepatology 79 (5), 1201-1213, 2023
The role of ex situ hypothermic oxygenated machine perfusion and cold preservation time in extended criteria donation after circulatory death and donation after brain death
D Dondossola, M Ravaioli, C Lonati, L Maroni, A Pini, C Accardo, ...
Liver Transplantation 27 (8), 1130-1143, 2021
Domain-selective functional analysis of variance for supervised statistical profile monitoring of signal data
A Pini, S Vantini, BM Colosimo, M Grasso
Journal of the Royal Statistical Society Series C: Applied Statistics 67 (1 …, 2018
Test–retest reliability measures for curve data: An overview with recommendations and supplementary code
A Pini, JL Markström, L Schelin
Sports biomechanics 21 (2), 179-200, 2022
The interval testing procedure: inference for functional data controlling the family wise error rate on intervals
A Pini, S Vantini
MOX-Report 13, 2013, 2013
Exploring resting-state functional connectivity invariants across the lifespan in healthy people by means of a recently proposed graph theoretical model
P Finotelli, O Dipasquale, I Costantini, A Pini, F Baglio, G Baselli, P Dulio, ...
PLoS One 13 (11), e0206567, 2018
Multi-aspect local inference for functional data: analysis of ultrasound tongue profiles
A Pini, L Spreafico, S Vantini, A Vietti
Journal of Multivariate Analysis 170, 162-185, 2019
Model-free two-sample test for network-valued data
I Lovato, A Pini, A Stamm, S Vantini
Computational Statistics & Data Analysis 144, 106896, 2020
Hotelling’s T2 in separable Hilbert spaces
A Pini, A Stamm, S Vantini
Journal of Multivariate Analysis 167, 284-305, 2018
Vantini S. Interval-wise testing for functional data
A Pini
J Nonparametric Stat 29 (2), 407-424, 2017
False discovery rate for functional data
NL Olsen, A Pini, S Vantini
Test 30 (3), 784-809, 2021
Modelling time-varying mobility flows using function-on-function regression: Analysis of a bike sharing system in the city of milan
A Torti, A Pini, S Vantini
Journal of the Royal Statistical Society Series C: Applied Statistics 70 (1 …, 2021
IWTomics: testing high-resolution sequence-based ‘Omics’ data at multiple locations and scales
MA Cremona, A Pini, F Cumbo, KD Makova, F Chiaromonte, S Vantini
Bioinformatics 34 (13), 2289-2291, 2018
Gaussian graphical modeling for spectrometric data analysis
L Codazzi, A Colombi, M Gianella, R Argiento, L Paci, A Pini
Computational statistics & data analysis 174, 107416, 2022
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