49 citations · 94 across the 12 of their papers we have counts for
12 papers
Resampling simplicial depth
Carsten Jentsch, Stanislav Nagy, Martin Wendler
The simplicial depth (SD) is a commonly used indicator of the centrality of points with respect to distributions on . Asymptotic theory for the…
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction
Cabrel Teguemne Fokam, Carsten Jentsch, Michel Lang +1
The Random Forest (RF) algorithm can be applied to a broad spectrum of problems, including time series prediction. However, neither the classical IID (Independent and Identically d…
Prototypes as Explanation for Time Series Anomaly Detection
Bin Li, Carsten Jentsch, Emmanuel Müller
Detecting abnormal patterns that deviate from a certain regular repeating pattern in time series is essential in many big data applications. However, the lack of labels, the dynami…
Goodness of fit testing based on graph functionals for homogenous Erdös Renyi graphs
Barbara Brune, Jonathan Flossdorf, Carsten Jentsch
The Erdös Renyi graph is a popular choice to model network data as it is parsimoniously parametrized, straightforward to interprete and easy to estimate. However, it has limited su…
Bootstrap Consistency for the Mack Bootstrap
Julia Steinmetz, Carsten Jentsch
Mack's distribution-free chain ladder reserving model belongs to the most popular approaches in non-life insurance mathematics. Proposed to determine the first two moments of the r…
Lex2Sent: A bagging approach to unsupervised sentiment analysis
Kai-Robin Lange, Jonas Rieger, Carsten Jentsch
Unsupervised text classification, with its most common form being sentiment analysis, used to be performed by counting words in a text that were stored in a lexicon, which assigns…