| Interval-wise testing for functional data A Pini, S Vantini Journal of Nonparametric Statistics 29 (2), 407-424, 2017 | 49 | 2017 |
| The interval testing procedure: a general framework for inference in functional data analysis A Pini, S Vantini Biometrics 72 (3), 835-845, 2016 | 34 | 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 | 28 | 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 | 23 | 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 | 23 | 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 | 20 | 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 | 16 | 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 | 15 | 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 | 10 | 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 | 8 | 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 | 7 | 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 | 6 | 2019 |
| Hotelling’s T2 in separable Hilbert spaces A Pini, A Stamm, S Vantini Journal of Multivariate Analysis 167, 284-305, 2018 | 6 | 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 | 6 | 2014 |
| Hotelling's T^2 in functional Hilbert spaces A Pini, A Stamm, S Vantini MOX–Report No. 1/2015, 0 | 3* | |
| Model-free two-sample test for network-valued data I Lovato, A Pini, A Stamm, S Vantini Computational Statistics & Data Analysis 144, 106896, 2020 | 2 | 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 | 2 | 2020 |
| False discovery rate for functional data N Lundtorp Olsen, A Pini, S Vantini arXiv e-prints, arXiv: 1908.05272, 2019 | 2 | 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 | 2 | 2015 |
| Global and component-wise distribution-free inference for functional data: methods and applications A Pini Italy, 2014 | 2 | 2014 |
