18 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.AI2013★ 18 cited
Bayesian Error-Bars for Belief Net Inference
Tim Van Allen, Russell Greiner, Peter Hooper
A Bayesian Belief Network (BN) is a model of a joint distribution over a setof n variables, with a DAG structure to represent the immediate dependenciesbetween the variables, and a…
stat.ME2012
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
Peter Hooper
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each…
cs.AI2012★ 4 cited
Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling
Peter Hooper, Yasin Abbasi-Yadkori, Russell Greiner +1
A Bayesian belief network models a joint distribution with an directed acyclic graph representing dependencies among variables and network parameters characterizing conditional dis…