2.6k citations
- University of MichiganUS213 papers
- Fermi National Accelerator LaboratoryUS68 papers
- University College LondonGB57 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES53 papers
- Unidades Centrales Científico-TécnicasES53 papers
- Institute for High Energy PhysicsES46 papers
- Institució Catalana de Recerca i Estudis AvançatsES43 papers
- Netherlands Institute for Radio AstronomyNL42 papers
- Institut Català de Ciències del ClimaES41 papers
- Boston UniversityUS39 papers
- State Library of OhioUS39 papers
- University of California, BerkeleyUS38 papers
21 papers · 1 filter
"It doesn't tell me anything about how my data is used'': User Perceptions of Data Collection Purposes
Lin Kyi, Abraham Mhaidli, Cristiana Santos +2
Data collection purposes and their descriptions are presented on almost all privacy notices under the GDPR, yet there is a lack of research focusing on how effective they are at in…
Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias
S. Lee, T. Q. Peng, M. H. Goldberg +4
Large language models (LLMs) have demonstrated their potential in social science research by emulating human perceptions and behaviors, a concept referred to as algorithmic fidelit…
Transverse Emittance Reduction in Muon Beams by Ionization Cooling
The MICE Collaboration, M. Bogomilov, R. Tsenov +134
Accelerated muon beams have been considered for next-generation studies of high-energy lepton-antilepton collisions and neutrino oscillations. However, high-brightness muon beams h…
Pattern detection in bipartite networks: a review of terminology, applications and methods
Zachary Neal, Annabel Cadieux, Diego Garlaschelli +7
Two dimensional matrices with binary (0/1) entries are a common data structure in many research fields. Examples include ecology, economics, mathematics, physics, psychometrics and…
Revisiting Inference for ARMA Models: Improved Fits and Superior Confidence Intervals
Jesse Wheeler, Edward L. Ionides
Autoregressive moving average (ARMA) models are widely used for analyzing time series data. However, standard likelihood-based inference methodology for ARMA models has avoidable l…
Building an Efficient Cluster Cosmology Software Package for Modeling Cluster Counts and Lensing
M. Aguena, O. Alves, J. Annis +60
We introduce a software suite developed for galaxy cluster cosmological analysis with the Dark Energy Survey Data. Cosmological analyses based on galaxy cluster number counts and w…