Jim Q. Smith - RankMe

64 papers A 4C 1Journal 48Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Structural Refinement of Bayesian Networks for Efficient Model Parameterisation. CoRR Kieran Drury, Martine J. Barons, Jim Q. Smith
2025	J	`jnl`	Surjective Independence of Causal Influences for Local Bayesian Network Structures. CoRR Kieran Drury, Martine J. Barons, Jim Q. Smith
2025	J	`jnl`	The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks. Int. J. Approx. Reason. Manuele Leonelli, Jim Q. Smith
2024	J	`jnl`	Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments. CoRR Kieran Drury, Jim Q. Smith
2024	J	`jnl`	Dynamic Bayesian Networks, Elicitation, and Data Embedding for Secure Environments. Entropy Kieran Drury, Jim Q. Smith
2024	J	`jnl`	The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks. CoRR Manuele Leonelli, Jim Q. Smith, Sophia K. Wright
2024	J	`jnl`	Using infinite server queues with partial information for occupancy prediction. J. Oper. Res. Soc. Nikki Sonenberg, Victoria Volodina, Peter G. Challenor, Jim Q. Smith
2023	J	`jnl`	Building a Bayesian decision support system for evaluating COVID-19 countermeasure strategies. J. Oper. Res. Soc. Peter Strong, Aditi Shenvi, Xuewen Yu, K. Nadia Papamichail, Henry P. Wynn, Jim Q. Smith
2022	—	`conf`	Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling. PGM Peter Strong, Jim Q. Smith
2021	J	`jnl`	Causal Algebras on Chain Event Graphs with Informed Missingness for System Failure. Entropy Xuewen Yu, Jim Q. Smith
2021	J	`jnl`	Lexical semantic change for Ancient Greek and Latin. CoRR Valerio Perrone, Simon Hengchen, Marco Palma, Alessandro Vatri, Jim Q. Smith, Barbara McGillivray
2020	J	`jnl`	Bayesian Learning of Causal Relationships for System Reliability. CoRR Xuewen Yu, Jim Q. Smith, Linda Nichols
2020	J	`jnl`	Coherent combination of probabilistic outputs for group decision making: an algebraic approach. OR Spectr. Manuele Leonelli, Eva Riccomagno, Jim Q. Smith
2020	—	`conf`	Constructing a Chain Event Graph from a Staged Tree. PGM Aditi Shenvi, Jim Q. Smith
2020	J	`jnl`	Constructing a Chain Event Graph from a Staged Tree. CoRR Aditi Shenvi, Jim Q. Smith
2020	J	`jnl`	Propagation for Dynamic Continuous Time Chain Event Graphs. CoRR Aditi Shenvi, Jim Q. Smith
2019	J	`jnl`	A Bayesian Hierarchical Model for Criminal Investigations. CoRR F. O. Bunnin, Jim Q. Smith
2019	—	`conf`	GASC: Genre-Aware Semantic Change for Ancient Greek. LChange@ACL Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith, Barbara McGillivray
2019	J	`jnl`	GASC: Genre-Aware Semantic Change for Ancient Greek. CoRR Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith, Barbara McGillivray
2018	J	`jnl`	A graphical method for simplifying Bayesian games. Reliab. Eng. Syst. Saf. Peter A. Thwaites, Jim Q. Smith
2018	J	`jnl`	An N Time-Slice Dynamic Chain Event Graph. CoRR Rodrigo A. Collazo, Jim Q. Smith
2018	J	`jnl`	Directed functional connectivity using dynamic graphical models. NeuroImage Simon Schwab, Ruth Harbord, Valerio Zerbi, Lloyd T. Elliott, Soroosh Afyouni, Jim Q. Smith, Mark W. Woolrich, Stephen M. Smith, Thomas E. Nichols
2018	J	`jnl`	Discovery of statistical equivalence classes using computer algebra. Int. J. Approx. Reason. Christiane Görgen, Anna Maria Bigatti, Eva Riccomagno, Jim Q. Smith
2018	J	`jnl`	Principles of Bayesian Inference Using General Divergence Criteria. Entropy Jack Jewson, Jim Q. Smith, Chris C. Holmes
2018	J	`jnl`	Properties of an N Time-Slice Dynamic Chain Event Graph. CoRR Rodrigo A. Collazo, Jim Q. Smith
2017	J	`jnl`	A Graphical method for simplifying Bayesian Games. CoRR Peter A. Thwaites, Jim Q. Smith
2017	J	`jnl`	A new method for tackling asymmetric decision problems. Int. J. Approx. Reason. Peter A. Thwaites, Jim Q. Smith
2017	J	`jnl`	A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. Ann. Math. Artif. Intell. Manuele Leonelli, Eva Riccomagno, Jim Q. Smith
2017	J	`jnl`	Directed Expected Utility Networks. Decis. Anal. Manuele Leonelli, Jim Q. Smith
2017	J	`jnl`	Gaussian tree constraints applied to acoustic linguistic functional data. J. Multivar. Anal. Nathaniel Shiers, John A. D. Aston, Jim Q. Smith, John S. Coleman
2017	J	`jnl`	Sensitivity analysis in multilinear probabilistic models. Inf. Sci. Manuele Leonelli, Christiane Görgen, Jim Q. Smith
2017	—	`conf`	Uncertainty Handling during Nuclear Accidents. ISCRAM Simon French, Nikos Argyris, Jim Q. Smith, Stephanie Haywood, Matthew C. Hort
2016	—	`conf`	A Differential Approach to Causality in Staged Trees. Probabilistic Graphical Models Christiane Görgen, Jim Q. Smith
2016	J	`jnl`	A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. CoRR Manuele Leonelli, Eva Riccomagno, Jim Q. Smith
2016	J	`jnl`	Bayesian selection of graphical regulatory models. Int. J. Approx. Reason. Silvia Liverani, Jim Q. Smith
2016	J	`jnl`	Directed expected utility networks. CoRR Manuele Leonelli, Jim Q. Smith
2016	J	`jnl`	Estimating Causal Structure Using Conditional DAG Models. J. Mach. Learn. Res. Chris J. Oates, Jim Q. Smith, Sach Mukherjee
2016	J	`jnl`	Exact estimation of multiple directed acyclic graphs. Stat. Comput. Chris J. Oates, Jim Q. Smith, Sach Mukherjee, James Cussens
2015	J	`jnl`	A Separation Theorem for Chain Event Graphs. CoRR Peter A. Thwaites, Jim Q. Smith
2015	J	`jnl`	Sensitivity analysis, multilinearity and beyond. CoRR Manuele Leonelli, Christiane Görgen, Jim Q. Smith
2013	J	`jnl`	Approximate Learning in Complex Dynamic Bayesian Networks CoRR Raffaella Settimi, Jim Q. Smith, A. S. Gargoum
2013	J	`jnl`	Devolving command decisions in complex operations. J. Oper. Res. Soc. Lorraine Dodd, Jim Q. Smith
2013	J	`jnl`	On the Geometry of Bayesian Graphical Models with Hidden Variables CoRR Raffaella Settimi, Jim Q. Smith
2013	J	`jnl`	Refining a Bayesian Network using a Chain Event Graph. Int. J. Approx. Reason. L. M. Barclay, J. L. Hutton, Jim Q. Smith
2012	J	`jnl`	Propagation using Chain Event Graphs CoRR Peter A. Thwaites, Jim Q. Smith, Robert G. Cowell
2012	J	`jnl`	Regulating Autonomous Agents Facing Conflicting Objectives: A Command and Control Example. Decis. Anal. Jim Q. Smith, Lorraine Dodd
2011	J	`jnl`	Bayesian MAP model selection of chain event graphs. J. Multivar. Anal. Guy Freeman, Jim Q. Smith
2010	J	`jnl`	Causal analysis with Chain Event Graphs. Artif. Intell. Peter A. Thwaites, Jim Q. Smith, Eva Riccomagno
2010	J	`jnl`	On the robustness of Bayesian networks to learning from non-conjugate sampling. Int. J. Approx. Reason. Jim Q. Smith, Alireza Daneshkhah
2009	C	`conf`	Chain Event Graph Map Model Selection. KEOD Peter A. Thwaites, Guy Freeman, Jim Q. Smith
2009	—	`conf`	Searching a Multivariate Partition Space Using MAX-SAT. CIBB Silvia Liverani, James Cussens, Jim Q. Smith
2008	J	`jnl`	Conditional independence and chain event graphs. Artif. Intell. Jim Q. Smith, Paul E. Anderson
2008	A	`conf`	Propagation using Chain Event Graphs. UAI Peter A. Thwaites, Jim Q. Smith, Robert G. Cowell
2006	J	`jnl`	Discontinuity in decision-making when objectives conflict: a military command decision case study. J. Oper. Res. Soc. Lorraine Dodd, James Moffat, Jim Q. Smith
2006	—	`conf`	Evaluating Causal effects using Chain Event Graphs. Probabilistic Graphical Models Peter A. Thwaites, Jim Q. Smith
2004	—	`conf`	Causal Identification in Design Networks. MICAI Ana Maria Madrigal, Jim Q. Smith
2003	J	`jnl`	Discrete mixtures in Bayesian networks with hidden variables: a latent time budget example. Comput. Stat. Data Anal. J. Croft, Jim Q. Smith
2002	—	`conf`	FINDS: A Training Package to Assess Forensic Fibre Evidence. MICAI Roberto O. Puch, Jim Q. Smith
2002	—	`conf`	Inferentially Efficient Propagation in Non-Decomposable Bayesian Network with Hierarchical Junction Trees. Probabilistic Graphical Models Roberto O. Puch, Jim Q. Smith, Concha Bielza
2002	—	`conf`	Multicausal Prior Families, Randomisation and Essential Graphs. Probabilistic Graphical Models Alireza Daneshkhah, Jim Q. Smith
1999	A	`conf`	Approximate Learning in Complex Dynamic Bayesian Networks. UAI Raffaella Settimi, Jim Q. Smith, A. S. Gargoum
1999	J	`jnl`	Fast Bayes and the Dynamic Junction Forest. Artif. Intell. Jim Q. Smith, K. Nadia Papamichail
1999	A	`conf`	Geometry, moments and Bayesian networks with hidden variables. AISTATS Raffaella Settimi, Jim Q. Smith
1998	A	`conf`	On the Geometry of Bayesian Graphical Models with Hidden Variables. UAI Raffaella Settimi, Jim Q. Smith