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 ...

Machine learning models can drive business operations to great benefit. But, to get there, stakeholders must determine how model probabilities trigger actions. The number crunching can't determine it ...

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 ...

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 ...

Government Technology has covered the many ways public-sector agencies are utilizing predictive analytics to become smarter about services, but an area where there’s room for growth is in managing ...

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 ...

Police departments, like everyone else, would like to be more effective while spending less. Given the tremendous attention to big data in recent years, and the value it has provided in fields ranging ...