686 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Fachhochschule SalzburgAT17 papers
- Graz University of TechnologyAT16 papers
- University of ViennaAT15 papers
- Johannes Kepler University of LinzAT13 papers
- TU WienAT12 papers
- Pädagogische Hochschule SalzburgAT10 papers
- University of Electro-CommunicationsJP10 papers
- Paul Scherrer InstituteCH9 papers
- Vienna University of Economics and BusinessAT9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Institut Laue-LangevinFR8 papers
- Austrian Academy of SciencesAT7 papers
10 papers · 1 filter
Seeded Poisson Factorization: leveraging domain knowledge to fit topic models
Bernd Prostmaier, Jan Vávra, Bettina Grün +1
Topic models are widely used for discovering latent thematic structures in large text corpora, yet traditional unsupervised methods often struggle to align with pre-defined concept…
A Structural Text-Based Scaling Model for Analyzing Political Discourse
Jan Vávra, Bernd Hans-Konrad Prostmaier, Bettina Grün +1
Scaling political actors based on their individual characteristics and behavior helps profiling and grouping them as well as understanding changes in the political landscape. In th…
Evolving Voices Based on Temporal Poisson Factorisation
Jan Vávra, Bettina Grün, Paul Hofmarcher
The world is evolving and so is the vocabulary used to discuss topics in speech. Analysing political speech data from more than 30 years requires the use of flexible topic models t…
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
André M. Carrington, Douglas G. Manuel, Paul W. Fieguth +9
Optimal performance is critical for decision-making tasks from medicine to autonomous driving, however common performance measures may be too general or too specific. For binary cl…
Multivariate analysis of covariance when standard assumptions are violated
Georg Zimmermann, Markus Pauly, Arne C. Bathke
In applied research, it is often sensible to account for one or several covariates when testing for differences between multivariate means of several groups. However, the "classica…
Sample size calculation and blinded recalculation for analysis of covariance models with multiple random covariates
Georg Zimmermann, Meinhard Kieser, Arne Bathke
When testing for superiority in a parallel-group setting with a continuous outcome, adjusting for covariates (e.g., baseline measurements) is usually recommended, in order to reduc…
Optimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test
Martin Happ, Arne C. Bathke, Edgar Brunner
There are many different proposed procedures for sample size planning for the Wilcoxon-Mann-Whitney test at given type-I and type-II error rates and , respectively. Most met…
Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?
Martin Feldkircher, Luis Gruber, Florian Huber +1
We assess the relationship between model size and complexity in the time-varying parameter VAR framework via thorough predictive exercises for the Euro Area, the United Kingdom and…
Small-sample performance and underlying assumptions of a bootstrap-based inference method for a general analysis of covariance model with possibly heteroskedastic and nonnormal errors
Georg Zimmermann, Markus Pauly, Arne C. Bathke
It is well known that the standard F test is severely affected by heteroskedasticity in unbalanced analysis of covariance (ANCOVA) models. Currently available potential remedies fo…
Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models
Florian Huber, Gregor Kastner, Martin Feldkircher
This paper proposes a straightforward algorithm to carry out inference in large time-varying parameter vector autoregressions (TVP-VARs) with mixture innovation components for each…