This is a preview. Log in through your library . Abstract Presidents often campaign on behalf of candidates during elections. Do these campaign visits increase the probability that the candidate will ...

The past decade has witnessed significant advances in causal inference and Bayesian network learning, two intertwined disciplines that allow researchers to discern underlying cause‐and‐effect ...

A simplified causal Bayesian network for assessment of treatment result in sleep apnea. Nodes indicate variables of the data and arcs between them indicate effects between the variables. The treatment ...

When a computer scientist publishes genetics papers, you might think it would raise colleagues’ eyebrows. But Daphne Koller’s research using a once obscure branch of probability theory called Bayesian ...