LEADER 01252nam 2200433 450 001 9910150166603321 005 20230810001321.0 010 $a1-4994-3005-1 035 $a(CKB)3710000000942469 035 $a(MiAaPQ)EBC5384038 035 $a(EXLCZ)993710000000942469 100 $a20180713d2017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA trip to the construction site /$fNora Ellison 210 1$aNew York :$cPowerKids Press,$d2017. 215 $a1 online resource (26 pages) $cillustrations 225 1 $aMy community 300 $aIncludes index. 311 $a1-4994-3004-3 410 0$aPowerKids readers.$pMy community. 606 $aBuilding$vJuvenile literature 606 $aBuilding sites$vJuvenile literature 606 $aConstruction workers$vJuvenile literature 615 0$aBuilding 615 0$aBuilding sites 615 0$aConstruction workers 676 $a690 700 $aEllison$b Nora$01379463 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910150166603321 996 $aA trip to the construction site$93419218 997 $aUNINA LEADER 13022nam 22007575 450 001 9911007461903321 005 20250524130244.0 010 $a9783031923838$b(electronic bk.) 010 $z9783031923821 024 7 $a10.1007/978-3-031-92383-8 035 $a(MiAaPQ)EBC32129680 035 $a(Au-PeEL)EBL32129680 035 $a(CKB)38919258700041 035 $a(DE-He213)978-3-031-92383-8 035 $a(OCoLC)1521199796 035 $a(EXLCZ)9938919258700041 100 $a20250524d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNew Trends in Functional Statistics and Related Fields /$fedited by Germán Aneiros, Enea G. Bongiorno, Aldo Goia, Marie Hu?ková 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (579 pages) 225 1 $aContributions to Statistics,$x2628-8966 311 08$aPrint version: Aneiros, Germán New Trends in Functional Statistics and Related Fields Cham : Springer,c2025 9783031923821 327 $a1 Germán Aneiros, Enea G. Bongiorno, Aldo Goia and Marie Hu?ková, 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 Bo?inec, Erik Mendro? 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 Farnč 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 ?árka Hudecová, Daniel Hlubinka and Zden?k Hlávka, Functional ? Sample Problem via Multivariate Optimal Measure Transport-Based Permutation Test -- 32 Marie Hu?ková 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 Rulličre 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 Mendro? and Stanislav Nagy, The Spherical Depth for Functional Data -- 49 Tomá? Mrkvi?ka, 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 Patanč, 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 Rano?ová 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 ?kor?a and Jitka Machalová, Statistical Analysis of Bivariate Densities with Compositional Splines -- 61 Veronika ?majserová 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. 330 $aThis volume gathers peer-reviewed contributions presented at the 6th International Workshop on Functional and Operatorial Statistics, IWFOS 2025, held in Novara, Italy, June 25-27, 2025. Covering a broad spectrum of topics in functional and operatorial statistics and related fields, including high-dimensional statistics and machine learning, the contributions tackle both fundamental theoretical challenges and practical applications. A variety of features of statistics for functional data are addressed, such as estimation of functional features, exploration and pre-processing of functional data, methodologies for functional regression and forecasting problems, unsupervised and supervised classification, and testing procedures. Nonstandard functional data and situations which go beyond the pattern of samples of independent variables are investigated, and a link to the field of artificial intelligence is presented. Interesting real data applications to medicine, health, economics and the natural, environmental and social sciences are featured throughout. Initiated at the University of Toulouse in 2008, the series of IWFOS workshops fosters discussion and international collaboration on theoretical advancements, methodological innovations, and applications in functional and operatorial statistics and related fields. Chapter 42 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 410 0$aContributions to Statistics,$x2628-8966 606 $aStatistics 606 $aQuantitative research 606 $aStatistics 606 $aBiometry 606 $aMathematical statistics$xData processing 606 $aMachine learning 606 $aStatistical Theory and Methods 606 $aData Analysis and Big Data 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aBiostatistics 606 $aStatistics and Computing 606 $aStatistical Learning 615 0$aStatistics. 615 0$aQuantitative research. 615 0$aStatistics. 615 0$aBiometry. 615 0$aMathematical statistics$xData processing. 615 0$aMachine learning. 615 14$aStatistical Theory and Methods. 615 24$aData Analysis and Big Data. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aBiostatistics. 615 24$aStatistics and Computing. 615 24$aStatistical Learning. 676 $a519.5 700 $aAneiros$b Germán$01825541 701 $aBongiorno$b Enea G$01825542 701 $aGoia$b Aldo$0148115 701 $aHusková$b Marie$0102768 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911007461903321 996 $aNew Trends in Functional Statistics and Related Fields$94393312 997 $aUNINA