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20032026
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1.8k citations

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5 papers · 1 filter

stat.ME2024★ 1 cited

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…

stat.ME2024

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…

stat.ME2024

Bayesian Finite Mixture Models

Bettina Grün, Gertraud Malsiner-Walli

Finite mixture models are a useful statistical model class for clustering and density approximation. In the Bayesian framework finite mixture models require the specification of su…

econ.GN2024★ 22 cited

Competition and Collaboration in Crowdsourcing Communities: What happens when peers evaluate each other?

Christoph Riedl, Tom Grad, Christopher Lettl

Crowdsourcing has evolved as an organizational approach to distributed problem solving and innovation. As contests are embedded in online communities and evaluation rights are assi…

stat.AP2024★ 2 cited

Algorithm-agnostic significance testing in supervised learning with multimodal data

Lucas Kook, Anton Rask Lundborg

Valid statistical inference is crucial for decision-making but difficult to obtain in supervised learning with multimodal data, e.g., combinations of clinical features, genomic dat…