When did we marketers start believing — really, truly believing — that we could predict the future? Let's ask the question in a data-based way: How strong is the proof of data-based, predictive ...

Gibbs-type random probability measures, or Gibbs-type priors, are arguably the most “natural” generalization of the celebrated Dirichlet prior. Among them the two parameter Poisson–Dirichlet prior ...

Han Solo ignores C-3PO's advice. Stakeholders involved with predictive AI must ramp up on a semi-technical understanding that comes down to 1) what's predicted, 2) how well and 3) what's done about it ...

The paper evaluates the predictive validity of stated intentions for actual behaviour. In the context of the 2017 Dutch parliamentary election, we compare how well polls based on probabilistic and ...

H V Jagadish's research on Big Data is funded in part by the National Science Foundation and the National Institutes of Health. The term “predictive policing” suggests that the police can anticipate a ...