Peer-Reviewed Journals

Seydi M.R., Pini, A., Pataky, T., Schelin, L. (2024) ``Confidence sets for intraclass correlation coefficients in test–retest curve measurements’’ Journal of Biomechanics 173, 112232, https://doi.org/10.1016/j.jbiomech.2024.112232

Dondossola, D., Lonati, C., Pini, A., Bignamini, D., Zanella, A., Lombardi, R., Scaravilli, V., La Mura, V., Forzenigo, L., Biondetti, P., Grasselli, G., Fracanzani, A., Paleari, C., Cespiati, A., Todaro, S. Cattaneo, E., Di Feliciantonio, M., Sigon, G., Valsecchi, C., Guzzardella, A., Battistin, M., Iuculano, F. (2024) ``Portal hypertension-like pattern in coronavirus disease 2019 acute respiratory distress syndrome’’ Journal of Critical Care 82, 154759 https://doi.org/10.1016/j.jcrc.2024.154759

Pini, A., Sorensen, H., Tolver, A., Vantini, S. (2023) ``Local inference for functional linear mixed models’’ Computational Statistics & Data Analysis, 181, 107688 https://doi.org/10.1016/j.csda.2022.107688

Abramowicz, K., Pini, A., Schelin, L., Stamm, A., Vantini, S. (2022) ``Domain selection and familywise error rate for functional data: A unified framework’’ Biometrics https://doi.org/10.1111/biom.13669

Codazzi, L., Colombi, A., Gianella, M., Argiento, R., Paci, L., Pini, A. (2022) “Gaussian graphical modeling for spectrometric data analysis” Computational Statistics & Data Analysis, 107416 https://doi.org/10.1016/j.csda.2021.107416

Rimalova, V., Fiserova, E., Menafoglio, A., Pini, A. (2022) ``Inference for spatial regression models with functional response using a permutational approach’’ Journal of Multivariate Analysis https://doi.org/10.1016/j.jmva.2021.104893

Pini, A., Markström, J., Schelin, L. (2022): ``Test–retest reliability measures for curve data: an overview with recommendations and supplementary code’’, Sports Biomechanics 21(2): 179–200. doi: 10.1080/14763141.2019.1655089 https://doi.org/10.1080/14763141.2019.1655089

Pataky, T. C., Abramowicz, K., Liebl, D., Pini, A., Sjöstedt de Luna, S., Schelin, L. (2021) ``Simultaneous inference for functional data in sports biomechanics: Comparing statistical parametric mapping with interval-wise testing’’, AStA Advances in Statistical Analysis https://doi.org/10.1007/s10182-021-00418-4

Schelin, L., Pini, A., Markström, J. L., Hager, C. K. (2021) ``Test-retest reliability of entire time-series data from hip, knee and ankle kinematics and kinetics during one-leg hops for distance: Analyses using integrated pointwise indices’’, Journal of Biomechanics Jul 19, 124:110546 https://doi.org/10.1016/j.jbiomech.2021.110546

Strandberg, J., Pini, A., Hager, C.K., Schelin, L. (2021) ``Analysis Choices Impact Movement Evaluation: A Multi-Aspect Inferential Method Applied to Kinematic Curves of Vertical Hops in Knee-Injured and Asymptomatic Persons’’, Frontiers in Bioengineering and Biotechnology 9: 375. https://doi.org/10.3389/fbioe.2021.645014

Lundtorp Olsen, N., Pini, A., Vantini, S. (2021) ``False discovery rate for functional data’’, TEST https://doi.org/doi.org/10.1007/s11749-020-00751-x

Pini, A., Dondossola, D., Ravaioli, M., Lonati, C., Maroni, L., Accardo, C., Germinario, G., Antonelli, B., Odaldi, F., Zanella, A., Siniscalchi, A., Cescon, M., Rossi, G. (2021) ``The role of ex-situ hypothermic oxygenated machine perfusion and cold preservation time in extended criteria DCD and DBD’’, Liver Transplantation https://doi.org/10.1002/lt.26067

Lovato, I., Pini, A., Stamm, A., Taquet, M., Vantini, S., (2021): `` Multiscale null hypothesis testing for network-valued data: analysis of brain networks of patients with autism’’, Journal of the Royal Statistical Society C 70(2): 372–397 https://doi.org/10.1111/rssc.12463

Torti, A., Pini, A., Vantini, S. (2021): ``Modelling time-varying mobility flows using function-on-function regression: analysis of a bike sharing system in the city of Milan’’, Journal of the Royal Statistical Society C 70(1): 226–247 https://doi.org/10.1111/rssc.12456

Lovato, I. Pini, A., Stamm, A., Vantini, S. (2020): ``Model-free Two-sample Test for Network-Valued Data’’, Computational Statistics and Data Analysis 144: 106896 https://doi.org/10.1016/j.csda.2019.106896

Rimalova, V., Menafoglio, A., Pini, A., Pechanec, V., Fiserova, E. (2019):``A permutation approach to the analysis of spatio-temporal geochemical data in the presence of heteroscedasticity’’, Environmetrics 31(4) https://doi.org/10.1002/env.2611

Pini, A., Markstr"om, J., Schelin, L. (2019):``Test–retest reliability measures for curve data: an overview with recommendations and supplementary code’’, Sports Biomechanics https://doi.org/10.1080/14763141.2019.1655089

Forlim, C. G., Finotelli, P., Dulio, P., Klock, L., Pini, A., B"achle,J., Stoll, L., Giemsa, P., Fuchs, M., Schoofs, N., Montag, C., Gallinat, J., Kühn, S. (2019): ``New graph-theoretical-multimodal approach using temporal and structural correlations reveal disruption in the thalamo-cortical network in patients with schizophrenia’’, Brain Connectivity https://doi.org/10.1089/brain.2018.0654

Pini, A., Spreafico, L., Vantini, S., Vietti, A. (2018): ``Multi-aspect local inference for functional data: analysis of ultrasound tongue profiles’’, Journal of Multivariate Analysis 170: 162–185 https://doi.org/10.1016/j.jmva.2018.11.006

Finotelli, P. Dipasquale, O., Costantini, I., Pini, A., Baglio, F., Baselli, G., Dulio, P., Cercignani, M. (2018): ``Exploring resting-state functional connectivity invariants across the lifespan in healthy people by means of a recently proposed graph theoretical model’’, PLoS ONE 13(11) https://doi.org/10.1371/journal.pone.0206567

Pini, A., Stamm, A., Vantini, S. (2018): ``Hotelling’s $T^2$ in functional Hilbert spaces’’, Journal of Multivariate Analysis 167: 284–305 https://doi.org/10.1016/j.jmva.2018.05.007

Abramowicz, K.,De Luna, S., Häger, C., Pini, A., Schelin, L., Vantini, S. (2018): ``Nonparametric inference for functional-on-scalar linear models applied to knee kinematic hop data after injury of the anterior cruciate ligament’’, Scandinavian Journal of Statistics 45(4): 1036–1061 https://doi.org/10.1111/sjos.12333

Cremona, M. A., Pini, A., Cumbo, F., Makova, K. D., Chiaromonte, F., Vantini, S. (2018): ``IWTomics: testing high-resolution sequence-based Omics data at multiple locations and scales’’. Bioinformatics 34(13): 2289–2291 https://doi.org/10.1093/bioinformatics/bty090

Pini, A., Vantini, S., Colosimo, B. M., Grasso, M. (2017): ``Domain-selective functional analysis of variance for supervised statistical profile monitoring of signal data’’. Journal of the Royal Statistical Society C. 67(1): 55–81 https://doi.org/10.1111/rssc.12218

Compagnoni, M., Pini, A., Canclini, A., Bestagini, P., Antonacci, F., Tubaro, S., Sarti, A. (2017): ``A Geometrical-Statistical approach to outlier removal for TDOA measuments’’. IEEE Transactions on Signal Processing. 65(15): 3960–3975 https://doi.org/10.1109/TSP.2017.2701311

Pini, A., Vantini, S. (2017): ``Interval-wise testing for functional data’’. Journal of Nonparametric Statistics 29(2): 407–424 https://doi.org/10.1080/10485252.2017.1306627

Campos-Sánchez, R. , Cremona, M. A., Pini, A., Chiaromonte, F., Makova, K. D. (2016): ``Integration and fixation preferences of human and mouse endogenous retroviruses uncovered with functional data analysis’’. PLOS Computational Biology. 12(6): e1004956 https://doi.org/doi:10.1371/journal.pcbi.1004956

Pini, A., Vantini, S. (2016): ``The interval testing procedure: a general framework for inference in functional data analysis’’. Biometrics. 73(3): 835–845 https://doi.org/10.1111/biom.12476

Hèbert-Losier, K., Pini, A., Vantini, S., Strandberg, J., Abramowicz, K., Schelin, L., Häger, C. (2015): ``One-leg hop kinematics 20 years following anterior cruciate ligament rupture: data revisited using functional data analysis’’. Clinical biomechanics. Dec;30(10):1153–1161 https://doi.org/10.1016/j.clinbiomech.2015.08.010

Book Chapters

Olsen, N., Pini, A., Vantini, S. (2020): ``Local Inference for Functional Data Controlling the Functional False Discovery Rate.’’, in G. Aneiros, I. Horov'a, M. Huskov'a, P. Vieu (eds) Functional and High-Dimensional Statistics and Related Fields, Springer.

Pini, A., Spreafico, L., Vantini, S., Vietti, A. (2017): ``Differential interval-wise testing for local inference in Sobolev spaces’’, in G. Aneiros, E. Bongiorno, R. Cao, P. Vieu (eds) Functional Statistics and Related Fields, Springer.

Pini, A., Stamm, A., Vantini (2017): ``Hotelling in wonderland’’, in G. Aneiros, E. Bongiorno, R. Cao, P. Vieu (eds) Functional Statistics and Related Fields, Springer.

Azzimonti, L., Cremona, M. A., Ghiglietti, A., Ieva, F., Menafoglio, A., Pini, A., Zanini, P. (2014): ``BARCAMP technology foresight and statistics for the future’’, in A. M. Paganoni, P. Secchi (eds) Advances in Complex Data Modeling and Computational Methods in Statistics, Springer.

Abramowicz, K., Häger, C.,Hèbert-Losier, K., Pini, A., Schelin, L., Strandberg, J., Vantini, S. (2014): ``An inferential framework for domain selection in functional ANOVA’’, in E. Bongiorno, A. Goia, E. Salinelli and P. Vieu (eds) Contributions in infinite-dimensional statistics and related topics, Esculapio.

Ferrario, E., Pini, A. (2013): ``Uncertainty analysis of a model of an energy distribution system with solar panel generation by time-varying data analysis, Monte Carlo simulation and fuzzy interval analysis’’, in R. Steenbergen, P. van Gelder, S. Miraglia, A. Vrouwenvelder (eds), Safety, reliability and Risk Analysis: Beyond the Horizon, CRC Press.