The multiple hybrid bootstrap - Resampling multivariate linear processes. - Carsten Jentsch; Jens-Peter Kreiss (J. Multivar. Anal., 2010)

Hybrid bootstrap aided unit root testing. - Carsten Jentsch; Jens-Peter Kreiss; Panagiotis Mantalos; Efstathios Paparoditis (Comput. Stat., 2012)

Guaranteed conditional ARL performance in the presence of autocorrelation. - Christian H. Weiß; Detlef Steuer; Carsten Jentsch; Murat Caner Testik (Comput. Stat. Data Anal., 2018)

Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype. - Jonas Rieger; Jörg Rahnenführer; Carsten Jentsch (NLDB, 2020)

Assessing the Uncertainty of the Text Generating Process Using Topic Models. - Jonas Rieger; Carsten Jentsch; Jörg Rahnenführer (PKDD/ECML Workshops, 2020)

Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs. - Jonas Rieger; Lars Koppers; Carsten Jentsch; Jörg Rahnenführer (CoRR, 2020)

Random boosting and random^2 forests - A random tree depth injection approach. - Tobias Markus Krabel; Thi Ngoc Tien Tran; Andreas Groll; Daniel Horn; Carsten Jentsch (CoRR, 2020)

Time-dependent Poisson reduced rank models for political text data analysis. - Carsten Jentsch; Eun Ryung Lee; Enno Mammen (Comput. Stat. Data Anal., 2020)

RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data. - Jonas Rieger; Carsten Jentsch; Jörg Rahnenführer (EMNLP (Findings), 2021)

Unsupervised Movement Detection in Indoor Positioning Systems. - Jonathan Flossdorf; Anne Meyer; Dmitri Artjuch; Jaques Schneider; Carsten Jentsch (CoRR, 2021)

Change Detection in Dynamic Networks Using Network Characteristics. - Jonathan Flossdorf; Carsten Jentsch (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Dynamic change detection in topics based on rolling LDAs. - Jonas Rieger; Kai-Robin Lange; Jonathan Flossdorf; Carsten Jentsch (Text2Story@ECIR, 2022)

Lex2Sent: A bagging approach to unsupervised sentiment analysis. - Kai-Robin Lange; Jonas Rieger; Carsten Jentsch (CoRR, 2022)

Debunking Disinformation with GADMO: A Topic Modeling Analysis of a Comprehensive Corpus of German-language Fact-Checks. - Jonas Rieger; Nico Hornig; Jonathan Flossdorf; Henrik Müller; Stephan Mündges; Carsten Jentsch; Jörg Rahnenführer; Christina Elmer (LDK, 2023)

Visually Analyzing Topic Change Points in Temporal Text Collections. - Cedric Krause; Jonas Rieger; Jonathan Flossdorf; Carsten Jentsch; Fabian Beck 001 (VMV, 2023)

Prototypes as Explanation for Time Series Anomaly Detection. - Bin Li 089; Carsten Jentsch; Emmanuel Müller (CoRR, 2023)

Partial Autocorrelation Diagnostics for Count Time Series. - Christian H. Weiß; Boris Aleksandrov; Maxime Faymonville; Carsten Jentsch (Entropy, 2023)

Online monitoring of dynamic networks using flexible multivariate control charts. - Jonathan Flossdorf; Roland Fried; Carsten Jentsch (Soc. Netw. Anal. Min., 2023)

AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction. - Cabrel Teguemne Fokam; Carsten Jentsch; Michel Lang; Markus Pauly (CoRR, 2024)

SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments. - Kai-Robin Lange; Carsten Jentsch (CoRR, 2024)

Zeitenwenden: Detecting changes in the German political discourse. - Kai-Robin Lange; Jonas Rieger; Niklas Benner; Carsten Jentsch (CoRR, 2024)

spINAR: An R Package for Semiparametric and Parametric Estimation and Bootstrapping of Integer-Valued Autoregressive (INAR) Models. - Maxime Faymonville; Javiera Riffo; Jonas Rieger; Carsten Jentsch (J. Open Source Softw., 2024)

LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation. - Jonas Rieger; Carsten Jentsch; Jörg Rahnenführer (PeerJ Comput. Sci., 2024)

Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models. - Kai-Robin Lange; Tobias Schmidt; Matthias Reccius; Henrik Müller; Michael Roos; Carsten Jentsch (Text2Story@ECIR, 2025)

ttta: Tools for Temporal Text Analysis. - Kai-Robin Lange; Niklas Benner; Lars Grönberg; Aymane Hachcham; Imene Kolli; Jonas Rieger; Carsten Jentsch (CoRR, 2025)

Identifying economic narratives in large text corpora - An integrated approach using Large Language Models. - Tobias Schmidt; Kai-Robin Lange; Matthias Reccius; Henrik Müller; Michael Roos; Carsten Jentsch (CoRR, 2025)