Jim Q. Smith

Orcid: 0000-0002-9224-5317

Affiliations:
  • University of Warwick, Department of Statistics, UK


According to our database1, Jim Q. Smith authored at least 54 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Using infinite server queues with partial information for occupancy prediction.
J. Oper. Res. Soc., February, 2024

2023
Building a Bayesian decision support system for evaluating COVID-19 countermeasure strategies.
J. Oper. Res. Soc., February, 2023

2022
Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021
Causal Algebras on Chain Event Graphs with Informed Missingness for System Failure.
Entropy, 2021

Lexical semantic change for Ancient Greek and Latin.
CoRR, 2021

2020
Coherent combination of probabilistic outputs for group decision making: an algebraic approach.
OR Spectr., 2020

Network Modelling of Criminal Collaborations with Dynamic Bayesian Steady Evolutions.
CoRR, 2020

Propagation for Dynamic Continuous Time Chain Event Graphs.
CoRR, 2020

Bayesian Learning of Causal Relationships for System Reliability.
CoRR, 2020

Constructing a Chain Event Graph from a Staged Tree.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019
A Bayesian Hierarchical Model for Criminal Investigations.
CoRR, 2019

GASC: Genre-Aware Semantic Change for Ancient Greek.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, 2019

2018
A graphical method for simplifying Bayesian games.
Reliab. Eng. Syst. Saf., 2018

Directed functional connectivity using dynamic graphical models.
NeuroImage, 2018

Discovery of statistical equivalence classes using computer algebra.
Int. J. Approx. Reason., 2018

Principles of Bayesian Inference Using General Divergence Criteria.
Entropy, 2018

Properties of an N Time-Slice Dynamic Chain Event Graph.
CoRR, 2018

An N Time-Slice Dynamic Chain Event Graph.
CoRR, 2018

2017
Gaussian tree constraints applied to acoustic linguistic functional data.
J. Multivar. Anal., 2017

Sensitivity analysis in multilinear probabilistic models.
Inf. Sci., 2017

A new method for tackling asymmetric decision problems.
Int. J. Approx. Reason., 2017

Directed Expected Utility Networks.
Decis. Anal., 2017

A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams.
Ann. Math. Artif. Intell., 2017

Uncertainty Handling during Nuclear Accidents.
Proceedings of the 14th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2017

2016
Exact estimation of multiple directed acyclic graphs.
Stat. Comput., 2016

Estimating Causal Structure Using Conditional DAG Models.
J. Mach. Learn. Res., 2016

Bayesian selection of graphical regulatory models.
Int. J. Approx. Reason., 2016

A Differential Approach to Causality in Staged Trees.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015
A Separation Theorem for Chain Event Graphs.
CoRR, 2015

Sensitivity analysis, multilinearity and beyond.
CoRR, 2015

Bayesian decision support for complex systems with many distributed experts.
Ann. Oper. Res., 2015

A Differential Approach for Staged Trees.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2013
Devolving command decisions in complex operations.
J. Oper. Res. Soc., 2013

Refining a Bayesian Network using a Chain Event Graph.
Int. J. Approx. Reason., 2013

Using graphical models and multi-attribute utility theory for probabilistic uncertainty handling in large systems, with application to the nuclear emergency management.
Proceedings of the Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Regulating Autonomous Agents Facing Conflicting Objectives: A Command and Control Example.
Decis. Anal., 2012

2011
Bayesian MAP model selection of chain event graphs.
J. Multivar. Anal., 2011

2010
On the robustness of Bayesian networks to learning from non-conjugate sampling.
Int. J. Approx. Reason., 2010

Causal analysis with Chain Event Graphs.
Artif. Intell., 2010

2009
Chain Event Graph Map Model Selection.
Proceedings of the KEOD 2009 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, Funchal, 2009

Searching a Multivariate Partition Space Using MAX-SAT.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008
Conditional independence and chain event graphs.
Artif. Intell., 2008

Propagation using Chain Event Graphs.
Proceedings of the UAI 2008, 2008

2006
Discontinuity in decision-making when objectives conflict: a military command decision case study.
J. Oper. Res. Soc., 2006

Evaluating Causal effects using Chain Event Graphs.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2004
Causal Identification in Design Networks.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

2003
Discrete mixtures in Bayesian networks with hidden variables: a latent time budget example.
Comput. Stat. Data Anal., 2003

2002
Inferentially Efficient Propagation in Non-Decomposable Bayesian Network with Hierarchical Junction Trees.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Multicausal Prior Families, Randomisation and Essential Graphs.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

FINDS: A Training Package to Assess Forensic Fibre Evidence.
Proceedings of the MICAI 2002: Advances in Artificial Intelligence, 2002

1999
Fast Bayes and the Dynamic Junction Forest.
Artif. Intell., 1999

Approximate Learning in Complex Dynamic Bayesian Networks.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Geometry, moments and Bayesian networks with hidden variables.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
On the Geometry of Bayesian Graphical Models with Hidden Variables.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998


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