Zobrazeno 1 - 10
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pro vyhledávání: '"Gertheiss, Jan"'
Automated damage detection is an integral component of each structural health monitoring (SHM) system. Typically, measurements from various sensors are collected and reduced to damage-sensitive features, and diagnostic values are generated by statist
Externí odkaz:
http://arxiv.org/abs/2409.17735
Structural Health Monitoring (SHM) is increasingly applied in civil engineering. One of its primary purposes is detecting and assessing changes in structure conditions to increase safety and reduce potential maintenance downtime. Recent advancements,
Externí odkaz:
http://arxiv.org/abs/2408.02106
Structural Health Monitoring (SHM) is increasingly used in civil engineering. One of its main purposes is to detect and assess changes in infrastructure conditions to reduce possible maintenance downtime and increase safety. Ideally, this process sho
Externí odkaz:
http://arxiv.org/abs/2406.01262
Functional data analysis (FDA) is a statistical framework that allows for the analysis of curves, images, or functions on higher dimensional domains. The goals of FDA, such as descriptive analyses, classification, and regression, are generally the sa
Externí odkaz:
http://arxiv.org/abs/2312.05523
Ordinal data are quite common in applied statistics. Although some model selection and regularization techniques for categorical predictors and ordinal response models have been developed over the past few years, less work has been done concerning or
Externí odkaz:
http://arxiv.org/abs/2309.16373
Autor:
Ugba, Ejike R., Gertheiss, Jan
The estimation of cumulative distribution functions (CDF) and probability density functions (PDF) is a fundamental practice in applied statistics. However, challenges often arise when dealing with data arranged in grouped intervals. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2309.12575
Autor:
Ugba, Ejike R., Gertheiss, Jan
Publikováno v:
Commun. Stat. Appl. Methods, CSAM. 30 (2023) 49-63
A lot of studies on the summary measures of predictive strength of categorical response models consider the likelihood ratio index (LRI), also known as the McFadden-$R^2$, a better option than many other measures. We propose a simple modification of
Externí odkaz:
http://arxiv.org/abs/2204.01301
Publikováno v:
In Mechanical Systems and Signal Processing 1 January 2025 224
Autor:
Selk, Leonie, Gertheiss, Jan
Publikováno v:
Advances in Data Analysis and Classification 2022
We consider nonparametric prediction with multiple covariates, in particular categorical or functional predictors, or a mixture of both. The method proposed bases on an extension of the Nadaraya-Watson estimator where a kernel function is applied on
Externí odkaz:
http://arxiv.org/abs/2111.03115