Answering queries in hybrid Bayesian networks using importance sampling

Authors:
Antonio FernáNdez;Rafael Rumí;Antonio SalmeróN
Affiliations:
-;-;-
Venue:
Decision Support Systems
Year:
2012

Citing 38
Cited 0

The computational complexity of probabilistic inference using Bayesian belief networks (research note)

Artificial Intelligence
Approximating probabilistic inference in Bayesian belief networks is NP-hard

Artificial Intelligence
Blocking Gibbs sampling in very large probabilistic expert systems

International Journal of Human-Computer Studies - Special issue: real-world applications of uncertain reasoning
LAZY propagation: a junction tree inference algorithm based on lazy evaluation

Artificial Intelligence
An Introduction to Variational Methods for Graphical Models

Machine Learning
Importance sampling in Bayesian networks using probability trees

Computational Statistics & Data Analysis
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Simulation and the Monte Carlo Method

Simulation and the Monte Carlo Method
Stable local computation with conditional Gaussian distributions

Statistics and Computing
Mixtures of Truncated Exponentials in Hybrid Bayesian Networks

ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Axioms for probability and belief-function proagation

UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials

Statistics and Computing
Approximate probability propagation with mixtures of truncated exponentials

International Journal of Approximate Reasoning
Inference in hybrid Bayesian networks using dynamic discretization

Statistics and Computing
Theoretical analysis and practical insights on importance sampling in Bayesian networks

International Journal of Approximate Reasoning
Belief update in CLG Bayesian networks with lazy propagation

International Journal of Approximate Reasoning
Arc reversals in hybrid Bayesian networks with deterministic variables

International Journal of Approximate Reasoning
Bayesian Networks and Decision Graphs

Bayesian Networks and Decision Graphs
AIS-BN: an adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks

Journal of Artificial Intelligence Research
Exploiting causal independence in Bayesian network inference

Journal of Artificial Intelligence Research
Efficiency of influence diagram models with continuous decision variables

Decision Support Systems
Dynamic importance sampling in Bayesian networks based on probability trees

International Journal of Approximate Reasoning
Learning hybrid Bayesian networks using mixtures of truncated exponentials

International Journal of Approximate Reasoning
Improvements to message computation in lazy propagation

International Journal of Approximate Reasoning
Join tree propagation with prioritized messages

Networks
Arc refractor methods for adaptive importance sampling on large Bayesian networks under evidential reasoning

International Journal of Approximate Reasoning
SampleSearch: Importance sampling in presence of determinism

Artificial Intelligence
The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature

Decision Support Systems
Probabilistic graphical models in artificial intelligence

Applied Soft Computing
Predicting consumer sentiments from online text

Decision Support Systems
Mining comparative opinions from customer reviews for Competitive Intelligence

Decision Support Systems
Inference in hybrid Bayesian networks using mixtures of polynomials

International Journal of Approximate Reasoning
A system for relevance analysis of performance indicators in higher education using Bayesian networks

Knowledge and Information Systems
Join tree propagation utilizing both arc reversal and variable elimination

International Journal of Approximate Reasoning
Exact inference in networks with discrete children of continuous parents

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Nonuniform dynamic discretization in hybrid networks

UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Mixtures of truncated basis functions

International Journal of Approximate Reasoning
Importance sampling algorithms for Bayesian networks: Principles and performance

Mathematical and Computer Modelling: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we propose an algorithm for answering queries in hybrid Bayesian networks where the underlying probability distribution is of class MTE (mixture of truncated exponentials). The algorithm is based on importance sampling simulation. We show how, like existing importance sampling algorithms for discrete networks, it is able to provide answers to multiple queries simultaneously using a single sample. The behaviour of the new algorithm is experimentally tested and compared with previous methods existing in the literature.