Jakob-Moritz Eberl
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Statistics and Probability — 5 citations into it
Whom Jakob-Moritz Eberl trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John K. Kruschke
- Paul-Christian Burkner
- Andrew Gelman
- Donald B. Rubin
- Bob Carpenter
- David J. Ciuk
- Ted Brader
- Klaus R. Scherer
- Christian Schemer
- Dominique S. Wirz
Papers from Jakob-Moritz Eberl's perspective
Ordered by how strongly the researchers Jakob-Moritz Eberl trusts endorse each paper. Same corpus, a different order for every researcher.
- Inference from Iterative Simulation Using Multiple Sequences
- Bayesian data analysis.
- brms: An R Package for Bayesian Multilevel Models Using Stan
- Stan: A Probabilistic Programming Language
- Striking a Responsive Chord: How Political Ads Motivate and Persuade Voters by Appealing to Emotions
- Positive emotions broaden the scope of attention and thought‐action repertoires (Cognition & Emotion)
- The like economy: Social buttons and the data-intensive web (New Media & Society)
- Sentiment Analysis (Encyclopedia of Social Network Analysis and Mining)
- What are emotions? And how can they be measured?
- How political candidates use Twitter and the impact on votes (Computers in Human Behavior)