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Carsten Jentsch
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2020 – today
- 2024
- [j9]Maxime Faymonville, Javiera Riffo, Jonas Rieger, Carsten Jentsch:
spINAR: An R Package for Semiparametric and Parametric Estimation and Bootstrapping of Integer-Valued Autoregressive (INAR) Models. J. Open Source Softw. 9(97): 5386 (2024) - [j8]Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer:
LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation. PeerJ Comput. Sci. 10: e2279 (2024) - [i8]Cabrel Teguemne Fokam, Carsten Jentsch, Michel Lang, Markus Pauly:
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction. CoRR abs/2410.00942 (2024) - [i7]Kai-Robin Lange, Carsten Jentsch:
SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments. CoRR abs/2410.17886 (2024) - [i6]Kai-Robin Lange, Jonas Rieger, Niklas Benner, Carsten Jentsch:
Zeitenwenden: Detecting changes in the German political discourse. CoRR abs/2410.17960 (2024) - 2023
- [j7]Christian H. Weiß
, Boris Aleksandrov, Maxime Faymonville
Partial Autocorrelation Diagnostics for Count Time Series. Entropy 25(1): 105 (2023) - [j6]Jonathan Flossdorf
Online monitoring of dynamic networks using flexible multivariate control charts. Soc. Netw. Anal. Min. 13(1): 87 (2023) - [c6]Jonas Rieger, Nico Hornig, Jonathan Flossdorf, Henrik Müller, Stephan Mündges, Carsten Jentsch, Jörg Rahnenführer, Christina Elmer:
Debunking Disinformation with GADMO: A Topic Modeling Analysis of a Comprehensive Corpus of German-language Fact-Checks. LDK 2023: 520-531 - [c5]Cedric Krause, Jonas Rieger, Jonathan Flossdorf, Carsten Jentsch, Fabian Beck
Visually Analyzing Topic Change Points in Temporal Text Collections. VMV 2023: 97-105 - [i5]Bin Li, Carsten Jentsch, Emmanuel Müller:
Prototypes as Explanation for Time Series Anomaly Detection. CoRR abs/2307.01601 (2023) - 2022
- [c4]Jonas Rieger, Kai-Robin Lange
Dynamic change detection in topics based on rolling LDAs. Text2Story@ECIR 2022: 5-13 - [i4]Kai-Robin Lange
Lex2Sent: A bagging approach to unsupervised sentiment analysis. CoRR abs/2209.13023 (2022) - 2021
- [j5]Jonathan Flossdorf
Change Detection in Dynamic Networks Using Network Characteristics. IEEE Trans. Signal Inf. Process. over Networks 7: 451-464 (2021) - [c3]Jonas Rieger
RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data. EMNLP (Findings) 2021: 2337-2347 - [i3]Jonathan Flossdorf
Unsupervised Movement Detection in Indoor Positioning Systems. CoRR abs/2109.10757 (2021) - 2020
- [j4]Carsten Jentsch, Eun Ryung Lee
Time-dependent Poisson reduced rank models for political text data analysis. Comput. Stat. Data Anal. 142 (2020) - [c2]Jonas Rieger
Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype. NLDB 2020: 118-125 - [c1]Jonas Rieger
Assessing the Uncertainty of the Text Generating Process Using Topic Models. PKDD/ECML Workshops 2020: 385-396 - [i2]Jonas Rieger
Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs. CoRR abs/2003.04980 (2020) - [i1]Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Daniel Horn, Carsten Jentsch:
Random boosting and random^2 forests - A random tree depth injection approach. CoRR abs/2009.06078 (2020)
2010 – 2019
- 2018
- [j3]Christian H. Weiß
Guaranteed conditional ARL performance in the presence of autocorrelation. Comput. Stat. Data Anal. 128: 367-379 (2018) - 2012
- [j2]Carsten Jentsch
Hybrid bootstrap aided unit root testing. Comput. Stat. 27(4): 779-797 (2012) - 2010
- [j1]Carsten Jentsch
The multiple hybrid bootstrap - Resampling multivariate linear processes. J. Multivar. Anal. 101(10): 2320-2345 (2010)
Coauthor Index
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