On the Geometry of Bayesian Graphical Models with Hidden Variables. - Raffaella Settimi; Jim Q. Smith (UAI, 1998)

Geometry, moments and Bayesian networks with hidden variables. - Raffaella Settimi; Jim Q. Smith (AISTATS, 1999)

Approximate Learning in Complex Dynamic Bayesian Networks. - Raffaella Settimi; Jim Q. Smith; A. S. Gargoum (UAI, 1999)

Fast Bayes and the Dynamic Junction Forest. - Jim Q. Smith; K. Nadia Papamichail (Artif. Intell., 1999)

FINDS: A Training Package to Assess Forensic Fibre Evidence. - Roberto O. Puch; Jim Q. Smith (MICAI, 2002)

Multicausal Prior Families, Randomisation and Essential Graphs. - Alireza Daneshkhah; Jim Q. Smith (Probabilistic Graphical Models, 2002)

Inferentially Efficient Propagation in Non-Decomposable Bayesian Network with Hierarchical Junction Trees. - Roberto O. Puch; Jim Q. Smith; Concha Bielza (Probabilistic Graphical Models, 2002)

Discrete mixtures in Bayesian networks with hidden variables: a latent time budget example. - J. Croft; Jim Q. Smith (Comput. Stat. Data Anal., 2003)

Causal Identification in Design Networks. - Ana Maria Madrigal; Jim Q. Smith (MICAI, 2004)

Evaluating Causal effects using Chain Event Graphs. - Peter A. Thwaites; Jim Q. Smith (Probabilistic Graphical Models, 2006)

Discontinuity in decision-making when objectives conflict: a military command decision case study. - Lorraine Dodd; James Moffat; Jim Q. Smith (J. Oper. Res. Soc., 2006)

Propagation using Chain Event Graphs. - Peter A. Thwaites; Jim Q. Smith; Robert G. Cowell (UAI, 2008)

Conditional independence and chain event graphs. - Jim Q. Smith; Paul E. Anderson 002 (Artif. Intell., 2008)

Searching a Multivariate Partition Space Using MAX-SAT. - Silvia Liverani; James Cussens; Jim Q. Smith (CIBB, 2009)

Chain Event Graph Map Model Selection. - Peter A. Thwaites; Guy Freeman; Jim Q. Smith (KEOD, 2009)

Causal analysis with Chain Event Graphs. - Peter A. Thwaites; Jim Q. Smith; Eva Riccomagno (Artif. Intell., 2010)

On the robustness of Bayesian networks to learning from non-conjugate sampling. - Jim Q. Smith; Alireza Daneshkhah (Int. J. Approx. Reason., 2010)

Bayesian MAP model selection of chain event graphs. - Guy Freeman; Jim Q. Smith (J. Multivar. Anal., 2011)

Regulating Autonomous Agents Facing Conflicting Objectives: A Command and Control Example. - Jim Q. Smith; Lorraine Dodd (Decis. Anal., 2012)

Using graphical models and multi-attribute utility theory for probabilistic uncertainty handling in large systems, with application to the nuclear emergency management. - Manuele Leonelli; James Q. Smith (ICDE Workshops, 2013)

Refining a Bayesian Network using a Chain Event Graph. - L. M. Barclay; J. L. Hutton; Jim Q. Smith (Int. J. Approx. Reason., 2013)

Devolving command decisions in complex operations. - Lorraine Dodd; Jim Q. Smith (J. Oper. Res. Soc., 2013)

A Differential Approach for Staged Trees. - Christiane Görgen; Manuele Leonelli; James Q. Smith (ECSQARU, 2015)

Bayesian decision support for complex systems with many distributed experts. - Manuele Leonelli; James Q. Smith (Ann. Oper. Res., 2015)

Sensitivity analysis, multilinearity and beyond. - Manuele Leonelli; Christiane Görgen; Jim Q. Smith (CoRR, 2015)

A Separation Theorem for Chain Event Graphs. - Peter A. Thwaites; Jim Q. Smith (CoRR, 2015)

A Differential Approach to Causality in Staged Trees. - Christiane Görgen; Jim Q. Smith (Probabilistic Graphical Models, 2016)

Bayesian selection of graphical regulatory models. - Silvia Liverani; Jim Q. Smith (Int. J. Approx. Reason., 2016)

Estimating Causal Structure Using Conditional DAG Models. - Chris J. Oates; Jim Q. Smith; Sach Mukherjee (J. Mach. Learn. Res., 2016)

Exact estimation of multiple directed acyclic graphs. - Chris J. Oates; Jim Q. Smith; Sach Mukherjee; James Cussens (Stat. Comput., 2016)

Uncertainty Handling during Nuclear Accidents. - Simon French 001; Nikos Argyris 001; Jim Q. Smith; Stephanie Haywood; Matthew C. Hort (ISCRAM, 2017)

A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. - Manuele Leonelli; Eva Riccomagno; Jim Q. Smith (Ann. Math. Artif. Intell., 2017)

Directed Expected Utility Networks. - Manuele Leonelli; Jim Q. Smith (Decis. Anal., 2017)

A new method for tackling asymmetric decision problems. - Peter A. Thwaites; Jim Q. Smith (Int. J. Approx. Reason., 2017)

Sensitivity analysis in multilinear probabilistic models. - Manuele Leonelli; Christiane Görgen; Jim Q. Smith (Inf. Sci., 2017)

Gaussian tree constraints applied to acoustic linguistic functional data. - Nathaniel Shiers; John A. D. Aston; Jim Q. Smith; John S. Coleman (J. Multivar. Anal., 2017)

An N Time-Slice Dynamic Chain Event Graph. - Rodrigo A. Collazo; Jim Q. Smith (CoRR, 2018)

Properties of an N Time-Slice Dynamic Chain Event Graph. - Rodrigo A. Collazo; Jim Q. Smith (CoRR, 2018)

Principles of Bayesian Inference Using General Divergence Criteria. - Jack Jewson; Jim Q. Smith; Chris C. Holmes (Entropy, 2018)

Discovery of statistical equivalence classes using computer algebra. - Christiane Görgen; Anna Maria Bigatti; Eva Riccomagno; Jim Q. Smith (Int. J. Approx. Reason., 2018)

Directed functional connectivity using dynamic graphical models. - Simon Schwab; Ruth Harbord; Valerio Zerbi; Lloyd T. Elliott; Soroosh Afyouni; Jim Q. Smith; Mark W. Woolrich; Stephen M. Smith 001; Thomas E. Nichols (NeuroImage, 2018)

A graphical method for simplifying Bayesian games. - Peter A. Thwaites; Jim Q. Smith (Reliab. Eng. Syst. Saf., 2018)

GASC: Genre-Aware Semantic Change for Ancient Greek. - Valerio Perrone; Marco Palma; Simon Hengchen; Alessandro Vatri; Jim Q. Smith; Barbara McGillivray (LChange@ACL, 2019)

A Bayesian Hierarchical Model for Criminal Investigations. - F. O. Bunnin; Jim Q. Smith (CoRR, 2019)

Constructing a Chain Event Graph from a Staged Tree. - Aditi Shenvi; Jim Q. Smith (PGM, 2020)

Bayesian Learning of Causal Relationships for System Reliability. - Xuewen Yu; Jim Q. Smith; Linda Nichols (CoRR, 2020)

Propagation for Dynamic Continuous Time Chain Event Graphs. - Aditi Shenvi; Jim Q. Smith (CoRR, 2020)

Network Modelling of Criminal Collaborations with Dynamic Bayesian Steady Evolutions. - F. O. Bunnin; Aditi Shenvi; James Q. Smith (CoRR, 2020)

Coherent combination of probabilistic outputs for group decision making: an algebraic approach. - Manuele Leonelli; Eva Riccomagno; Jim Q. Smith (OR Spectr., 2020)

Lexical semantic change for Ancient Greek and Latin. - Valerio Perrone; Simon Hengchen; Marco Palma; Alessandro Vatri; Jim Q. Smith; Barbara McGillivray (CoRR, 2021)

Causal Algebras on Chain Event Graphs with Informed Missingness for System Failure. - Xuewen Yu; Jim Q. Smith (Entropy, 2021)

Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling. - Peter Strong; Jim Q. Smith (PGM, 2022)

Building a Bayesian decision support system for evaluating COVID-19 countermeasure strategies. - Peter Strong; Aditi Shenvi; Xuewen Yu; K. Nadia Papamichail; Henry P. Wynn; Jim Q. Smith (J. Oper. Res. Soc., 2023)

The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks. - Manuele Leonelli; Jim Q. Smith; Sophia K. Wright (CoRR, 2024)

Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments. - Kieran Drury; Jim Q. Smith (CoRR, 2024)

Evaluating brain group structure methods using hierarchical dynamic models. - Lilia Costa; Osvaldo Anacleto-Junior; Diego C. Nascimento; James Q. Smith; Catriona M. Queen; Francisco Louzada 001; Tom E. Nichols (Pattern Recognit., 2024)

Using infinite server queues with partial information for occupancy prediction. - Nikki Sonenberg; Victoria Volodina; Peter G. Challenor; Jim Q. Smith (J. Oper. Res. Soc., 2024)

The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks. - Manuele Leonelli; Jim Q. Smith (Int. J. Approx. Reason., 2025)