1.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ViennaAT14 papers
- Sapienza University of RomeIT12 papers
- Complexity Science HubAT11 papers
- University of SalzburgAT9 papers
- Johannes Kepler University of LinzAT8 papers
- Humboldt-Universität zu BerlinDE7 papers
- The University of MelbourneAU7 papers
- TU WienAT7 papers
- ETH ZurichCH6 papers
- Queensland University of TechnologyAU5 papers
- University College DublinIE5 papers
- University of AmsterdamNL5 papers
164 papers
Marginal Data Augmentation for Efficient Bayesian Modeling of Counts and Rates with a Demographic Application
Gregor Zens, Sylvia Frühwirth-Schnatter
Count data models are ubiquitous in many fields, yet Bayesian data augmentation algorithms for such models frequently encounter challenges with Markov chain Monte Carlo efficiency.…
Access Over Deception: Fighting Deceptive Patterns through Accessibility
Tobias Pellkvist, Katie Seaborn, Miu Kojima
Deceptive patterns, dark patterns, and manipulative user interfaces (UI) are a widely used design strategy that manipulates users to act against their own interests in pursuit of s…
Orcheo: A Modular Full-Stack Platform for Conversational Search
Shaojie Jiang, Svitlana Vakulenko, Maarten de Rijke
Conversational search (CS) requires a complex software engineering pipeline that integrates query reformulation, ranking, and response generation. CS researchers currently face two…
A Semantic Encoding of Object Centric Event Data
Saba Latif, Fajar J. Ekaputra, Maxim Vidgof +2
The Object-Centric Event Data (OCED) is a novel meta-model aimed at providing a common ground for process data records centered around events and objects. One of its objectives is…
Comparison of generalised additive models and neural networks in applications: A systematic review
Jessica Doohan, Lucas Kook, Kevin Burke
Neural networks have become a popular tool in predictive modelling, more commonly associated with machine learning and artificial intelligence than with statistics. Generalised Add…
Agentic AI and Hallucinations
Engin Iyidogan, Ali I. Ozkes
We model a competitive market where AI agents buy answers from upstream generative models and resell them to users who differ in how much they value accuracy and in how much they f…
SigSPARQL: Signals as a First-Class Citizen When Querying Knowledge Graphs
Tobias Schwarzinger, Gernot Steindl, Thomas Frühwirth +4
Purpose: Cyber-Physical Systems (CPSs) integrate computation and physical processes, producing time series data from thousands of sensors. Knowledge graphs can contextualize these…
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…
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…
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…
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…
Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study
Martin Bicher, Claire Rippinger, Christoph Urach +3
Continued model-based decision support is associated with particular challenges, especially in long-term projects. Due to the regularly changing questions and the often changing un…
A maturity model for catalogues of semantic artefacts
Oscar Corcho, Fajar J. Ekaputra, Ivan Heibi +4
This work presents a maturity model for assessing catalogues of semantic artefacts, one of the keystones that permit semantic interoperability of systems. We defined the dimensions…
Measuring Rule-based LTLf Process Specifications: A Probabilistic Data-driven Approach
Alessio Cecconi, Luca Barbaro, Claudio Di Ciccio +1
Declarative process specifications define the behavior of processes by means of rules based on Linear Temporal Logic on Finite Traces (LTLf). In a mining context, these specificati…
Generalized Cumulative Shrinkage Process Priors with Applications to Sparse Bayesian Factor Analysis
Sylvia Frühwirth-Schnatter
The paper discusses shrinkage priors which impose increasing shrinkage in a sequence of parameters. We review the cumulative shrinkage process (CUSP) prior of Legramanti et al. (20…
Regime-switching affine term structures
Andreas Celary, Paul Eisenberg, Zehra Eksi
We consider an HJM model setting for Markov-chain modulated forward rates. The underlying Markov chain is assumed to induce regime switches on the forward curve dynamics. Our prima…
When it counts -- Econometric identification of the basic factor model based on GLT structures
Sylvia Frühwirth-Schnatter, Darjus Hosszejni, Hedibert Freitas Lopes
Despite the popularity of factor models with sparse loading matrices, little attention has been given to formally address identifiability of these models beyond standard rotation-b…
Blockchain based Resource Governance for Decentralized Web Environments
Davide Basile, Claudio Di Ciccio, Valerio Goretti +1
Decentralization initiatives such as Solid and ActivityPub aim to give data owners more control over their data and to level the playing field by enabling small companies and indiv…
Clustered Archimax Copulas
Simon Chatelain, Samuel Perreault, Johanna G. Nešlehová +1
When modeling multivariate phenomena, properly capturing the joint extremal behavior is often one of the many concerns. Archimax copulas appear as successful candidates in case of…
Shock propagation from the Russia-Ukraine conflict on international multilayer food production network determines global food availability
Moritz Laber, Peter Klimek, Martin Bruckner +2
Dependencies in the global food production network can lead to shortages in numerous regions, as demonstrated by the impacts of the Russia-Ukraine conflict on global food supplies.…
Your Consent Is Worth 75 Euros A Year -- Measurement and Lawfulness of Cookie Paywalls
Victor Morel, Cristiana Santos, Yvonne Lintao +1
Most websites offer their content for free, though this gratuity often comes with a counterpart: personal data is collected to finance these websites by resorting, mostly, to track…
Osband's Principle for Identification Functions
Timo Dimitriadis, Tobias Fissler, Johanna Ziegel
Given a statistical functional of interest such as the mean or median, a (strict) identification function is zero in expectation at (and only at) the true functional value. Identif…