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Paper Citation Record · LEDGER

Decomposition for Bayesian Networks: Local and Parallel Inference

As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.04650.

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pith.paper-citation-record.v1
2607.04650 v1

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measured 25 of 25 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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Outbound references

Observation 817ed7f2-7cde-4ef7-b943-032f1fbcea7a · outbound

This paper cites Koller and N.

Decomposition for Bayesian Networks: Local and Parallel Inference Koller and N

Reference 1

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This paper cites Pearl,Probabilistic reasoning in intelligent systems: networks of plausible inference.

Decomposition for Bayesian Networks: Local and Parallel Inference Pearl,Probabilistic reasoning in intelligent systems: networks of plausible inference

Reference 2

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This paper cites Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables,.

Decomposition for Bayesian Networks: Local and Parallel Inference Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables,

Reference 3

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This paper cites Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks,.

Decomposition for Bayesian Networks: Local and Parallel Inference Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks,

Reference 4

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This paper cites Computerized tongue diag- nosis based on Bayesian networks,.

Decomposition for Bayesian Networks: Local and Parallel Inference Computerized tongue diag- nosis based on Bayesian networks,

Reference 5

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This paper cites Bayesian networks for cardiovascular monitoring,.

Decomposition for Bayesian Networks: Local and Parallel Inference Bayesian networks for cardiovascular monitoring,

Reference 6

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This paper cites Integrating Bayesian networks and decision trees in a sequential rule-based transportation model,.

Decomposition for Bayesian Networks: Local and Parallel Inference Integrating Bayesian networks and decision trees in a sequential rule-based transportation model,

Reference 7

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This paper cites Component reliability in fault-diagnosis decision making based on dynamic Bayesian networks,.

Decomposition for Bayesian Networks: Local and Parallel Inference Component reliability in fault-diagnosis decision making based on dynamic Bayesian networks,

Reference 8

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This paper cites Reliability analysis of multi-state systems with common cause failure based on Bayesian networks,.

Decomposition for Bayesian Networks: Local and Parallel Inference Reliability analysis of multi-state systems with common cause failure based on Bayesian networks,

Reference 9

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This paper cites Applications of Bayesian networks in reliability analysis,.

Decomposition for Bayesian Networks: Local and Parallel Inference Applications of Bayesian networks in reliability analysis,

Reference 10

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This paper cites An introduction to clique minimal separator decomposition,.

Decomposition for Bayesian Networks: Local and Parallel Inference An introduction to clique minimal separator decomposition,

Reference 11

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This paper cites Simulation of hyper-inverse wishart distributions in graphical models,.

Decomposition for Bayesian Networks: Local and Parallel Inference Simulation of hyper-inverse wishart distributions in graphical models,

Reference 12

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This paper cites Simulation of hyper-inverse wishart distributions for non-decomposable graphs,.

Decomposition for Bayesian Networks: Local and Parallel Inference Simulation of hyper-inverse wishart distributions for non-decomposable graphs,

Reference 13

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This paper cites An improved iterative proportional scaling procedure for Gaussian graphical models,.

Decomposition for Bayesian Networks: Local and Parallel Inference An improved iterative proportional scaling procedure for Gaussian graphical models,

Reference 14

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Decomposition for Bayesian Networks: Local and Parallel Inference Lossless decomposition of Bayesian networks,

Reference 15

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Decomposition for Bayesian Networks: Local and Parallel Inference A divide-and-conquer approach in applying EM for large recursive models with incomplete categorical data,

Reference 16

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Decomposition for Bayesian Networks: Local and Parallel Inference Ancestral graph Markov models,

Reference 17

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Decomposition for Bayesian Networks: Local and Parallel Inference Graphs for margins of Bayesian networks,

Reference 18

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Decomposition for Bayesian Networks: Local and Parallel Inference Decomposition of two classes of structural models,

Reference 19

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Decomposition for Bayesian Networks: Local and Parallel Inference Collapsibility for directed acyclic graphs,

Reference 20

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Decomposition for Bayesian Networks: Local and Parallel Inference Structural dimension reduction in Bayesian networks,

Reference 21

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Decomposition for Bayesian Networks: Local and Parallel Inference Spirtes, C

Reference 22

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Decomposition for Bayesian Networks: Local and Parallel Inference A note on minimal d-separation trees for structural learning,

Reference 23

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Decomposition for Bayesian Networks: Local and Parallel Inference Inference in Bayesian networks using nested junction trees,

Reference 24

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Decomposition for Bayesian Networks: Local and Parallel Inference Treewidth computations I. Upper bounds,

Reference 25

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