Alessia Pini
Alessia Pini
Department of Statistical Sciences, Catholic University of Sacred Heart
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Interval-wise testing for functional data
A Pini, S Vantini
Journal of Nonparametric Statistics 29 (2), 407-424, 2017
The interval testing procedure: a general framework for inference in functional data analysis
A Pini, S Vantini
Biometrics 72 (3), 835-845, 2016
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
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
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
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
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 …, 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
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
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
Test–retest reliability measures for curve data: An overview with recommendations and supplementary code
A Pini, JL Markström, L Schelin
Sports biomechanics, 1-22, 2019
Hotelling’s T2 in separable Hilbert spaces
A Pini, A Stamm, S Vantini
Journal of Multivariate Analysis 167, 284-305, 2018
An inferential framework for domain selection in functional ANOVA
K Abramowicz, C Häger, K Hébert-Losier, A Pini, L Schelin, J Strandberg, ...
Contributions in infinite-dimensional statistics and related topics, 13-18, 2014
Hotelling's T^2 in functional Hilbert spaces
A Pini, A Stamm, S Vantini
MOX–Report No. 1/2015, 0
Model-free two-sample test for network-valued data
I Lovato, A Pini, A Stamm, S Vantini
Computational Statistics & Data Analysis 144, 106896, 2020
Differenze di genere, tecnologie digitali e conoscenza matematica: una fotografia degli studenti immatricolati ai corsi universitari in Ingegneria
C Andrà, DS Brunetto, A Pini
False discovery rate for functional data
N Lundtorp Olsen, A Pini, S Vantini
arXiv e-prints, arXiv: 1908.05272, 2019
BarCamp: Technology Foresight and Statistics for the Future
L Azzimonti, MA Cremona, A Ghiglietti, F Ieva, A Menafoglio, A Pini, ...
Advances in Complex Data Modeling and Computational Methods in Statistics, 53-67, 2015
Global and component-wise distribution-free inference for functional data: methods and applications
A Pini
Italy, 2014
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