128 citations · 181 across the 3 of their papers we have counts for
3 papers
cs.AI2013★ 46 cited
Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks
Jian Cheng, Marek J. Druzdzel
Monte Carlo sampling has become a major vehicle for approximate inference in Bayesian networks. In this paper, we investigate a family of related simulation approaches, known colle…
cs.AI2013★ 7 cited
Confidence Inference in Bayesian Networks
Jian Cheng, Marek J. Druzdzel
We present two sampling algorithms for probabilistic confidence inference in Bayesian networks. These two algorithms (we call them AIS-BN-mu and AIS-BN-sigma algorithms) guarantee…
cs.AI2011★ 128 cited
AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks
J. Cheng, M. J. Druzdzel
Stochastic sampling algorithms, while an attractive alternative to exact algorithms in very large Bayesian network models, have been observed to perform poorly in evidential reason…