| Abstract: | 1 Germán Aneiros, Enea G. Bongiorno, Aldo Goia and Marie Hušková, An Introduction to the 6th Edition of the International Workshop on Functional and Operatorial Statistics -- 2 Nihan Acar-Denizli and Pedro Delicado, Local Constant Likelihood Estimation for Beta Distribution with Time Varying Parameters -- 3 Mohamed Alahiane, Mustapha Rachdi, Idir Ouassou and Philippe Vieu, An Expansion of the Functional Projection Pursuit Regression to Generalized Partially Linear Single Index Models -- 4 Alexander Aue, Sebastian Kühnert and Gregory Rice, On the Estimation of Invertible Functional Time Series -- 5 Patrick Bastian, Rupsa Basu and Holger Dette, Uniform Confidence Bands for Joint Angles Across Different Fatigue Phases -- 6 Sayan Bhadra and Anuj Srivastava, Scalar on Shape Regression Using Function Data -- 7 Filip Bočinec, Erik Mendroš and Stanislav Nagy, A Comparison of Band-based Approaches to Functional Depth -- 8 Enea G. Bongiorno, Lax Chan and Aldo Goia, Analysing the Complexity Mixture Structure of Daily Probability Densities of Bitcoin Returns -- 9 Teresa Bortolotti, Roberta Troilo, Alessandra Menafoglio and Simone Vantini, Regularized Nonparametric Estimation of Covariance Kernels for High-Dimensional Interferometric Data -- 10 Alain Boudou and Sylvie Viguier-Pla, Statistical Properties of a Random Series Transmitted by Filtering -- 11 Robert Cantwell and John Aston for the Alzheimer’s Disease Neuroimaging Initiative, Multi-Object Regression: A Linear Framework via Partial Least Squares -- 12 Christian Capezza, Davide Forcina, Antonio Lepore, Biagio Palumbo, Monitoring the Covariance of Multichannel Profiles -- 13 Hervé Cardot and Caroline Peltier, Statistical Modeling of Categorical Trajectories with Multivariate Functional Data Approaches -- 14 Roberto Casarin, Radu Craiu and Qing Wang, Markov Switching Tensor Regressions -- 15 Michele Cavazzutti, Eleonora Arnone, Ying Sun, Marc G. Genton and Laura M. Sangalli, Functional Data Depth for the Analysis of Earth Surface Temperatures -- 16 Lax Chan, Laurent Delsol and Aldo Goia, Improving Finite Samples Performances in Nonparametric Functional Regression by Using Weighted Pseudo-Metrics -- 17 Aldo Clemente, Alessandro Palummo, Eleonora Arnone and Laura M. Sangalli, Smoothing with Nonlinear Partial Differential Equation Regularization -- 18 Adéla Czolková, Karel Hron and Sonja Greven, Functional Principal Component Analysis for Bivariate Densities and their Orthogonal Decomposition -- 19 Marco F. De Sanctis, Ilenia Di Battista, Eleonora Arnone, Cristian Castiglione, Mauro Bernardi, Francesca Ieva and Laura M. Sangalli, Estimating Multiple Quantile Surfaces: A Penalized Functional Approach -- 20 Simone Di Gregorio and Francesco Iafrate, Neural Drift Estimation for Ergodic Diffusions: Nonparametric Analysis and Numerical Exploration -- 21 Jacopo Di Iorio, Marzia A. Cremona and Francesca Chiaromonte, Amplitude-Invariant Functional Motif Discovery -- 22 Daniel Diz-Castro, Manuel Febrero-Bande and Wenceslao González-Manteiga, Testing the Significance of Covariates in Nonparametric Regression without the Curse of Dimensionality -- 23 Patric Dolmeta and Matteo Giordano, Gaussian Process Methods for Covariate-Based Intensity Estimation -- 24 Mélanie Dreina, Sylvie Viguier-Pla and Stéphane Abide, Spectral Analysis of Multidimensional Thermal Fields -- 25 Matteo Farnè and Xuanye Dai, Forecasting Dynamic Factor Scores by UNALSE Spectral Density Matrix Estimator -- 26 Manuel Febrero-Bande, Pedro Galeano and Wenceslao González-Manteiga, Testing for Linearity and Independence in Scalar-on-Function Regression with Responses Missing at Random by Generalized Distance Covariance -- 27 Antonino Gagliano, Chiara Di Maria, Gianluca Sottile, Sarah Beutler-Traktovenko, Luigi Augugliaro and Valeria Vitelli, A Novel Spectral Density Operator Approach to Unveil Dynamic Time Dependencies in Multivariate Long-Term ECGs -- 28 Nouhaila Goujili, Matthieu Saumard and Maher Jridi, Comparison of Deep Learning Methods for Functional Data -- 29 Nicolás Hernández and Stanislav Nagy, The Common Support Function with Applications -- 30 Karel Hron, Multivariate Densities in Bayes Spaces: The Novel Concept of Marginals and Its Implications -- 31 Šárka Hudecová, Daniel Hlubinka and Zdeněk Hlávka, Functional ???? Sample Problem via Multivariate Optimal Measure Transport-Based Permutation Test -- 32 Marie Hušková and Charl Pretorius, Sequential Monitoring for Detection of Breaks in Panel Data -- 33 Ioannis Kalogridis and Stefan Van Aelst, Robust Penalized Splines for Location Estimation from Discretely Sampled Functional Data -- 34 Yuwei Jiang and Natalya Pya Arnqvist, Functional Regression with Shape Constraints -- 35 Francesca Ieva, Nicole Fontana, Carlo Andrea Pivato, Emanuele Di Angelantonio and Piercesare Secchi, Enhancing Causal Inference in Functional Data: a Method for Estimating Time-Varying Causal Treatment Effects -- 36 Luigi Ippoliti, Tonio Di Battista, Luigi Di Carlo, Stefania Fensore, Eugenia Nissi, Pasquale Valentini, Carlo Zaccardi, Linear and Nonlinear Regression Models for Spatial Downscaling of Particulate Matter -- 37 Alessandro Lanteri, Raffaele Argiento, Silvia Montagna, A Bayesian Non-Parametric Model to Learn Functions with Discontinuties -- 38 Salvatore Latora, Luigi Augugliaro and Gerda Claeskens, A Novel Approach To Estimate Functional Gaussian Graphical Model Based On Penalized Multivariate Functional Regression Model -- 39 Niels Lundtorp Olsen, Alessia Pini and Simone Vantini, Local Null Hypothesis Significance Testing on Riemaniann Manifolds -- 40 Hassan Maatouk, Didier Rullière and Xavier Bay, Efficient Bayesian Linear Models for a Large Number of Observations- 41 Jitka Machalová and Jana Heckenbergerová, Innovative Approach to Wind Direction Data Analyses: A Compositional Periodic Spline Representation in Bayes Spaces -- 42 Eva-Maria Maier, Alexander Fottner, Almond Stöcker and Sonja Greven, Bayes Hilbert Space Additive Density-on-Scalar Regression Based on Individual Observations -- 43 Terence Kevin Manfoumbi Djonguet and Guy Martial Nkiet, A Kernel-Based Approach for Testing Mutual Independence of Several Functional Variables -- 44 Alejandra Mercedes Martínez, Addressing Robustness and Sparsity in Partially Linear Additive Models -- 45 Valentina Masarotto and Yiya Chen, Covariance Operators for Phonetics: Revisiting Tonal Coarticulation -- 46 Caterina May, Theodoros Ladas, Davide Pigoli and Kalliopi Mylona, A-optimal Designs of Experiments in Linear Models with Dynamic Factors and Functional Responses -- 47 Alessandra Menafoglio, Moving Object-Oriented Spatial Statistics Beyond Stationary and Euclidean Paradigms -- 48 Erik Mendroš and Stanislav Nagy, The Spherical Depth for Functional Data -- 49 Tomáš Mrkvička, False Discovery Rate Envelope and its Performance for Local Testing in Functional Data Analysis -- 50 Stanislav Nagy, Interpretable Functional Boxplots -- 51 Silvia Novo, Alessandro Palummo and Laura M. Sangalli, Scalar-on-Function Regression with Partially Observed Covariate -- 52 Alessandro Palummo, Eleonora Arnone, Letizia Clementi and Laura M. Sangalli, Efficient Physics-Informed Smoothing of Space-time Functional Data -- 53 Giulia Patanè, Federica Nicolussi, Alexander Krauth, Günter Gauglitz, Bianca Maria Colosimo, Luca Dede’ and Alessandra Menafoglio, Ordinal-on-Function Dimensionality Reduction -- 54 Nicola Pronello, Rosaria Ignaccolo and Luigi Ippoliti, Varying Coefficient Regression Models on Fluvial Networks -- 55 Hedvika Ranošová and Daniel Hlubinka, Non-Parametric Testing of Time Reversibility in Functional Data -- 56 María D. Ruiz–Medina and Rosa M. Crujeiras, An LRD Spectral Test for Irregularly Discretely Observed Functional Time Series in Manifolds -- 57 Diego Serrano and Eduardo García-Portugués, Prediction Regions for Functional-Valued Random Forests -- 58 Mohammad Reza Seydi, Johan Strandberg, Todd C. Pataky, and Lina Schelin, Sample Size Estimation for Two-Sample Functional Hypothesis Test -- 59 Han Lin Shang, Forecasting Age Distribution of Deaths at Subnational Level -- 60 Stanislav Škorňa and Jitka Machalová, Statistical Analysis of Bivariate Densities with Compositional Splines -- 61 Veronika Šmajserová and Jitka Machalová, Prediction with Mixed Effects Smooth Models by using P-Splines -- 62 Marco Stefanucci, Mauro Bernardi and Antonio Canale, Locally Sparse Estimation for Functional Linear Models with Scalar Response -- 63 Shahin Tavakoli, Gilles Nisol, and Marc Hallin, Factor Models for High-Dimensional Functional Time Series -- 64 Romain Valla, Pavlo Mozharovskyi, and Florence d’Alché-Buc, Anomaly-Driven Visualization of Functional Data -- 65 Simone Vantini, Leveraging Data Exchangeability for a More Reliable and Interpretable Functional Data Analysis -- 66 Marc Vidal, A Family of Moment Operators for Functional Data and Its Discriminative Properties. |
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