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Stochastic Models, Statistics and Their Applications

By Ansgar Steland

Stochastic Models, Statistics and Their Applications

By Ansgar Steland

0 - Default Title
Description
- 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.
Product details
Number of Pages:
208
Release Date:
2025-10-22
Publication Date:
2025-10-22
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031960149
ISBN13:
9783031960147
GPSR Manufacturer Reference:
[email protected]
Weight:
481 g
Height:
160 cm
Width:
241 cm
Thickness:
17 cm
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