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Nonlinear Deterministic Relationships in Bayesian Networks

https://doi.org/10.1007/11518655_4
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-44652-4_15openalex-snapshot
Mixtures of Truncated Exponentials in Hybrid Bayesian Networks
inferredcites →https://doi.org/10.1007/978-3-642-02906-6_6openalex-snapshot
Inference in Hybrid Bayesian Networks with Deterministic Variables
inferredcites →https://doi.org/10.1007/bfb0028174openalex-snapshot
Symbolic and Quantitative Approaches to Reasoning and Uncertainty
inferredcites →https://doi.org/10.1007/s11222-006-8175-8openalex-snapshot
Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials
inferredcites →https://doi.org/10.1023/a:1008935617754openalex-snapshot
Stable local computation with conditional Gaussian distributions
inferredcites →https://doi.org/10.1214/aoms/1177729694openalex-snapshot
On Information and Sufficiency
inferredcites →https://doi.org/10.2307/2287143openalex-snapshot
An Introduction to Mathematical Statistics and its Applications.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Inference in Hybrid Bayesian Networks with Nonlinear Deterministic Conditionals
inferred← citeshttps://doi.org/10.1007/978-3-030-04666-8_15openalex-snapshot
Sparse Relevance Kernel Machine-Based Performance Dependency Analysis of Analog and Mixed-Signal Circuits
inferred← citeshttps://doi.org/10.1007/978-3-642-02906-6_6openalex-snapshot
Inference in Hybrid Bayesian Networks with Deterministic Variables
inferred← citeshttps://doi.org/10.1007/s11222-007-9018-yopenalex-snapshot
Inference in hybrid Bayesian networks using dynamic discretization
inferred← citeshttps://doi.org/10.1016/j.ijar.2005.06.002openalex-snapshot
Inference in hybrid Bayesian networks with mixtures of truncated exponentials
inferred← citeshttps://doi.org/10.1016/j.ijar.2005.10.002openalex-snapshot
Operations for inference in continuous Bayesian networks with linear deterministic variables
inferred← citeshttps://doi.org/10.1016/j.ijar.2009.02.005openalex-snapshot
Arc reversals in hybrid Bayesian networks with deterministic variables
inferred← citeshttps://doi.org/10.1016/j.ijar.2010.09.003openalex-snapshot
Inference in hybrid Bayesian networks using mixtures of polynomials
inferred← citeshttps://doi.org/10.1016/j.ijar.2011.02.005openalex-snapshot
Extended Shenoy–Shafer architecture for inference in hybrid bayesian networks with deterministic conditionals
inferred← citeshttps://doi.org/10.1016/j.ijar.2018.01.006openalex-snapshot
An improved method for solving Hybrid Influence Diagrams
inferred← citeshttps://doi.org/10.1016/j.ijar.2025.109517openalex-snapshot
Cauchy Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1016/j.omega.2010.07.003openalex-snapshot
A review of representation issues and modeling challenges with influence diagrams
inferred← citeshttps://doi.org/10.1145/2651420openalex-snapshot
Economic Model-Driven Cloud Service Composition
inferred← citeshttps://doi.org/10.1177/1748006x231182223openalex-snapshot
An efficient discretization scheme for a dynamic Bayesian network in structural reliability analysis
inferred← citeshttps://doi.org/10.1287/deca.1120.0230openalex-snapshot
A Framework for Solving Hybrid Influence Diagrams Containing Deterministic Conditional Distributions
inferred← citeshttps://doi.org/10.1609/aaai.v30i1.10419openalex-snapshot
Closed-Form Gibbs Sampling for Graphical Models with Algebraic Constraints
inferred← citeshttps://doi.org/10.48550/arxiv.1207.1369openalex-snapshot
Hybrid Bayesian Networks with Linear Deterministic Variables
inferred← citeshttps://doi.org/10.48550/arxiv.1306.0733openalex-snapshot
Fast Gradient-Based Inference with Continuous Latent Variable Models in Auxiliary Form
inferred← citeshttps://doi.org/10.48550/arxiv.1402.0480openalex-snapshot
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets
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