Stochastic Models, Statistics and Their Applications SMSA 2024, Delft, The Netherlands, March 13-15 /
This volume presents contemporary research in stochastic modeling, statistical inference and their applications, and collects peer-reviewed contributions presented at the 15th Workshop on Stochastic Models, Statistics and Their Applications, SMSA 2024, held in Delft, The Netherlands, March 13-15, 20...
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| Weitere Verfasser: | , , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Ausgabe: | 1st ed. 2025. |
| Schriftenreihe: | Springer Proceedings in Mathematics & Statistics,
499 |
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| Online-Zugang: | https://doi.org/10.1007/978-3-031-96015-4 |
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Inhaltsangabe:
- - Part I: Stochastics and Statistical Theory
- Strong Gaussian Approximations with Random Multipliers
- Selection of Parametric Copula Models in the Approximation of Copulas using Cramér-von Mises Divergence
- Multivariate Dependence Based on Diagonal Sections: Spearman’s Footrule and Related Measures
- Proportional Asymptotics of Piecewise Exponential Proportional Hazards Models
- On the Choice of the Two Tuning Parameters for Nonparametric Estimation of an Elliptical Distribution Generator
- Part II: Inference and Machine Learning
- Inference from Longitudinal Data by Clustering and Machine Learning
- The Use of Neural Networks and PCA Dimensionality Reduction in the Imputation of Missing Fragments in High-Dimensional Time Series
- Discrete-Valued Time Series and Recurrent Neural Network Response Functions
- Application of Model-Free Time-Series Segmentation to Study Sleep in Mice
- Part III: Detection of Patterns in Data
- Testing for Dependence by Using Ordinal Patterns: Survey and Perspectives
- On Some Properties and Testing of Benford’s Law.