Pablo Jost

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

Whom Pablo Jost trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. John K. Kruschke
  2. Paul-Christian Burkner
  3. Andrew Gelman

Papers from Pablo Jost's perspective

Ordered by how strongly the researchers Pablo Jost trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Inference from Iterative Simulation Using Multiple Sequences
  2. Bayesian data analysis.
  3. brms: An R Package for Bayesian Multilevel Models Using Stan
  4. Stan: A Probabilistic Programming Language
  5. Striking a Responsive Chord: How Political Ads Motivate and Persuade Voters by Appealing to Emotions
  6. Positive emotions broaden the scope of attention and thought‐action repertoires (Cognition & Emotion)
  7. The like economy: Social buttons and the data-intensive web (New Media & Society)
  8. Sentiment Analysis (Encyclopedia of Social Network Analysis and Mining)
  9. How political candidates use Twitter and the impact on votes (Computers in Human Behavior)
  10. Persuasion Through Emotion? An Experimental Test of the Emotion-Eliciting Nature of Populist Communication

Their papers