3 papers
cs.AI2013
Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties
William B. Poland, Ross D. Shachter
Problems of probabilistic inference and decision making under uncertainty commonly involve continuous random variables. Often these are discretized to a few points, to simplify ass…
stat.ME2013
Three Approaches to Probability Model Selection
William B. Poland, Ross D. Shachter
This paper compares three approaches to the problem of selecting among probability models to fit data (1) use of statistical criteria such as Akaike's information criterion and Sch…
cs.AI2013
Probabilistic Constraint Satisfaction with Non-Gaussian Noise
Russ B. Altman, Cheng C. Chen, William B. Poland +1
We have previously reported a Bayesian algorithm for determining the coordinates of points in three-dimensional space from uncertain constraints. This method is useful in the deter…