New Trends in Functional Statistics and Related Fields
This volume gathers peer-reviewed contributions presented at the 6th International Workshop on Functional and Operatorial Statistics, IWFOS 2025, held in Novara, Italy, June 25-27, 2025. Covering a broad spectrum of topics in functional and operatorial statistics and related fields, including high-d...
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| Format: | Electronic eBook |
| Language: | English |
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Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edition: | 1st ed. 2025. |
| Series: | Contributions to Statistics,
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| Online Access: | https://doi.org/10.1007/978-3-031-92383-8 |
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Table of Contents:
- 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 𝐾 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.