| Nome |
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Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics, file e0c31c0a-372b-4599-e053-1705fe0aef77
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1.237
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A Class-Kriging predictor for Functional Compositions with Application to Particle-Size Curves in Heterogeneous Aquifers, file e0c31c08-d3bd-4599-e053-1705fe0aef77
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591
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On the role of statistics in the era of big data: A call for a debate, file e0c31c0c-2897-4599-e053-1705fe0aef77
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491
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A Kriging Approach based on Aitchison Geometry for the Characterization of Particle-Size Curves in Heterogeneous Aquifers, file e0c31c08-1fd6-4599-e053-1705fe0aef77
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450
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A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space, file e0c31c08-11d9-4599-e053-1705fe0aef77
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292
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Mathematical foundations of functional Kriging in Hilbert spaces and Riemannian manifolds, file e0c31c0e-ff53-4599-e053-1705fe0aef77
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251
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AneuRisk65: A dataset of three-dimensional cerebral vascular geometries, file e0c31c09-019e-4599-e053-1705fe0aef77
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216
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Geostatistical analysis in Bayes spaces: probability densities and compositional data, file e0c31c0e-ff57-4599-e053-1705fe0aef77
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187
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Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing, file e0c31c11-b72c-4599-e053-1705fe0aef77
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169
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Peak shape clustering reveals biological insights, file e0c31c0b-b8c4-4599-e053-1705fe0aef77
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163
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Stochastic simulation of soil particle-size curves in heterogeneous aquifer systems through a Bayes space approach, file e0c31c09-d8e0-4599-e053-1705fe0aef77
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158
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Analysis of spike train data: An application of k-mean alignment, file e0c31c09-0305-4599-e053-1705fe0aef77
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139
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Profile Monitoring of Probability Density Functions via Simplicial Functional PCA with application to Image Data, file e0c31c0f-8f7a-4599-e053-1705fe0aef77
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133
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Rejoinder: Analysis of AneuRisk65 data, file e0c31c08-fc9c-4599-e053-1705fe0aef77
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130
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Analysis of AneuRisk65 data: k-mean alignment, file e0c31c09-005c-4599-e053-1705fe0aef77
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125
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O2S2: A new venue for computational geostatistics, file e0c31c0f-2e8d-4599-e053-1705fe0aef77
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113
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Analysis of juggling data: An application of k-mean alignment, file e0c31c09-080c-4599-e053-1705fe0aef77
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110
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Analysis of proteomics data: Block k-mean alignment, file e0c31c08-ff88-4599-e053-1705fe0aef77
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109
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Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan, file e0c31c0e-7548-4599-e053-1705fe0aef77
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109
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Kriging prediction for manifold-valued random fields, file e0c31c08-efba-4599-e053-1705fe0aef77
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100
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Mixed Finite Elements for Spatial Regression with PDE Penalization, file e0c31c0e-f5d9-4599-e053-1705fe0aef77
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86
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Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology, file e0c31c0e-27ea-4599-e053-1705fe0aef77
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85
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Statistical control of complex geometries, with
application to Additive Manufacturing, file e0c31c10-6001-4599-e053-1705fe0aef77
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78
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Distances and inference for covariance operators, file e0c31c0e-7eaf-4599-e053-1705fe0aef77
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77
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Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers, file e0c31c11-e4fd-4599-e053-1705fe0aef77
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75
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Random domain decompositions for object-oriented Kriging over complex domains, file e0c31c12-6608-4599-e053-1705fe0aef77
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75
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Blood flow velocity field estimation via spatial regression with PDE penalization, file e0c31c10-dbaf-4599-e053-1705fe0aef77
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65
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Using Curve-Registration Information for Profile Monitoring, file e0c31c0f-80ee-4599-e053-1705fe0aef77
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64
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Development of a functional priority index for assessing the impact of a bridge closure, file d8895dcc-94db-492f-b9ef-eecd19b108e3
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50
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Turning big data into smart data: two examples based on the analysis of the Mappa dei Rischi dei Comuni Italiani, file e0c31c0f-2bec-4599-e053-1705fe0aef77
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48
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Supplementary material for: A Universal Kriging predictor for spatially
dependent functional data of a Hilbert Space, file e0c31c08-11da-4599-e053-1705fe0aef77
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32
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Clustering misaligned dependent curves applied to varved lake sediment for climate reconstruction, file e0c31c11-b103-4599-e053-1705fe0aef77
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26
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Rejoinder to the discussion of “Analysis of Spatio-Temporal Mobile Phone Data: a Case Study in the Metropolitan Area of Milan”, file e0c31c0e-a45f-4599-e053-1705fe0aef77
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20
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Kriging Riemannian Data via Random Domain Decompositions, file e0c31c12-a00f-4599-e053-1705fe0aef77
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20
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Object Oriented Geostatistical Simulation of Functional Compositions via Dimensionality Reduction in Bayes spaces, file e0c31c0b-c195-4599-e053-1705fe0aef77
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18
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Bridge closure in the road network of Lombardy: a spatio-temporal analysis of the socio-economic impacts, file e0c31c12-90b8-4599-e053-1705fe0aef77
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18
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Association rule mining to identify transcription factor interactions in genomic regions, file 62a4625a-7a8d-4efc-93b5-b2835a016970
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10
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Peak shape clustering reveals biological insights, file e0c31c0b-b8c5-4599-e053-1705fe0aef77
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6
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Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers, file e0c31c11-e4fe-4599-e053-1705fe0aef77
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6
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Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan, file e0c31c08-9c05-4599-e053-1705fe0aef77
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4
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A case study in exploratory functional data analysis: geometrical features of the internal carotid artery, file e0c31c07-cacf-4599-e053-1705fe0aef77
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3
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Clustering misaligned dependent curves applied to varved lake sediment for climate reconstruction, file e0c31c0b-99ca-4599-e053-1705fe0aef77
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3
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Efficient estimation of three-dimensional curves and their derivatives by free-knot regression splines, applied to the analysis of inner carotid artery centrelines, file e0c31c07-cad0-4599-e053-1705fe0aef77
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2
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Inference for the mean of large p small n data: a high dimensional generalization of Hotelling’s theorem, file e0c31c08-1347-4599-e053-1705fe0aef77
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2
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Rejoinder to the discussion of “Analysis of Spatio-Temporal Mobile Phone Data: a Case Study in the Metropolitan Area of Milan”, file e0c31c08-9c0a-4599-e053-1705fe0aef77
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2
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Hierarchical independent component analysis: A multi-resolution non-orthogonal data-driven basis, file e0c31c0b-776a-4599-e053-1705fe0aef77
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2
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Treelet decomposition of mobile phone data for deriving city usage and mobility pattern in the Milan urban region, file e0c31c0b-b0ea-4599-e053-1705fe0aef77
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2
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Profile Monitoring of Probability Density Functions via Simplicial Functional PCA with application to Image Data, file e0c31c0c-56f6-4599-e053-1705fe0aef77
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2
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A case study in functional data analysis; investigating the geometry of the internal carotid artery for cerebral aneurysms classification, file e0c31c07-c58f-4599-e053-1705fe0aef77
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1
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k-mean alignment for curve clustering, file e0c31c07-d06a-4599-e053-1705fe0aef77
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1
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IFN-gamma Produced by Human Papilloma Virus-18 E6 Specific CD4+ T Cells Predicts the Clinical Outcome after Surgery in Patients with High-Grade Cervical Lesions, file e0c31c07-d4e5-4599-e053-1705fe0aef77
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1
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Statistical and numerical investigations of cerebral aneurysms' morphology and haemodynamics, file e0c31c07-d6af-4599-e053-1705fe0aef77
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1
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S. Co. 2009 Sixth ConferenceComplex data modeling and computationally intensive statistical methods for estimation and prediction, file e0c31c07-d6c4-4599-e053-1705fe0aef77
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1
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Fuzzy C-Means Clustering of Signal Functional Principal Components for Post-Processing Dynamic Scenarios of a Nuclear Power Plant Digital Instrumentation and Control System, file e0c31c07-e3c9-4599-e053-1705fe0aef77
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1
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Functional clustering and alignment methods with applications, file e0c31c07-e68a-4599-e053-1705fe0aef77
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1
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A Generalization of Hotelling’s Theorem for Large p Small n Data, file e0c31c07-f48e-4599-e053-1705fe0aef77
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1
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The Virtuous Cycle of Big Data and Big Cities: a Case Study from Milan, file e0c31c08-2455-4599-e053-1705fe0aef77
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1
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EEG signals decomposition: a multi-resolution analysis, file e0c31c08-2626-4599-e053-1705fe0aef77
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1
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Was it snowing on lake Kassjon in January 4486 BC? Functional data analysis of sediment data, file e0c31c0a-d4b9-4599-e053-1705fe0aef77
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1
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Spatial Clustering of Functional Data, file e0c31c0b-5076-4599-e053-1705fe0aef77
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1
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Bagging Voronoi classifiers for clustering spatial functional data, file e0c31c0b-557c-4599-e053-1705fe0aef77
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1
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Measuring downsize reputational risk in the oil and gas industry, file e0c31c0b-6415-4599-e053-1705fe0aef77
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1
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Analysis of Mobile Phone Data for Deriving City Mobility Patterns, file e0c31c0b-b55d-4599-e053-1705fe0aef77
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1
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Cluster analysis of nuclear performance trends, file e0c31c0b-b8dc-4599-e053-1705fe0aef77
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1
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Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing, file e0c31c11-8055-4599-e053-1705fe0aef77
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1
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| Totale |
6.171 |