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Jim Q. Smith
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- affiliation: University of Warwick, Department of Statistics, UK
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Journal Articles
- 2024
- [j28]Nikki Sonenberg
, Victoria Volodina, Peter G. Challenor, Jim Q. Smith:
Using infinite server queues with partial information for occupancy prediction. J. Oper. Res. Soc. 75(2): 262-277 (2024) - [j27]Lilia Costa, Osvaldo Anacleto-Junior, Diego C. Nascimento
Evaluating brain group structure methods using hierarchical dynamic models. Pattern Recognit. 155: 110687 (2024) - 2023
- [j26]Peter Strong
Building a Bayesian decision support system for evaluating COVID-19 countermeasure strategies. J. Oper. Res. Soc. 74(2): 476-488 (2023) - 2021
- [j25]Xuewen Yu
Causal Algebras on Chain Event Graphs with Informed Missingness for System Failure. Entropy 23(10): 1308 (2021) - 2020
- [j24]Manuele Leonelli
Coherent combination of probabilistic outputs for group decision making: an algebraic approach. OR Spectr. 42(2): 499-528 (2020) - 2018
- [j23]Jack Jewson
Principles of Bayesian Inference Using General Divergence Criteria. Entropy 20(6): 442 (2018) - [j22]Christiane Görgen, Anna Maria Bigatti
Discovery of statistical equivalence classes using computer algebra. Int. J. Approx. Reason. 95: 167-184 (2018) - [j21]Simon Schwab
Directed functional connectivity using dynamic graphical models. NeuroImage 175: 340-353 (2018) - [j20]Peter A. Thwaites
A graphical method for simplifying Bayesian games. Reliab. Eng. Syst. Saf. 179: 3-11 (2018) - 2017
- [j19]Manuele Leonelli
A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. Ann. Math. Artif. Intell. 81(3-4): 273-313 (2017) - [j18]Manuele Leonelli
Directed Expected Utility Networks. Decis. Anal. 14(2): 108-125 (2017) - [j17]Peter A. Thwaites
A new method for tackling asymmetric decision problems. Int. J. Approx. Reason. 88: 624-639 (2017) - [j16]Manuele Leonelli
Sensitivity analysis in multilinear probabilistic models. Inf. Sci. 411: 84-97 (2017) - [j15]Nathaniel Shiers
Gaussian tree constraints applied to acoustic linguistic functional data. J. Multivar. Anal. 154: 199-215 (2017) - 2016
- [j14]Silvia Liverani
Bayesian selection of graphical regulatory models. Int. J. Approx. Reason. 77: 87-104 (2016) - [j13]Chris J. Oates, Jim Q. Smith, Sach Mukherjee:
Estimating Causal Structure Using Conditional DAG Models. J. Mach. Learn. Res. 17: 54:1-54:23 (2016) - [j12]Chris J. Oates, Jim Q. Smith, Sach Mukherjee, James Cussens
Exact estimation of multiple directed acyclic graphs. Stat. Comput. 26(4): 797-811 (2016) - 2015
- [j11]Manuele Leonelli
Bayesian decision support for complex systems with many distributed experts. Ann. Oper. Res. 235(1): 517-542 (2015) - 2013
- [j10]L. M. Barclay, J. L. Hutton, Jim Q. Smith:
Refining a Bayesian Network using a Chain Event Graph. Int. J. Approx. Reason. 54(9): 1300-1309 (2013) - [j9]Lorraine Dodd
Devolving command decisions in complex operations. J. Oper. Res. Soc. 64(1): 17-33 (2013) - 2012
- [j8]Jim Q. Smith, Lorraine Dodd
Regulating Autonomous Agents Facing Conflicting Objectives: A Command and Control Example. Decis. Anal. 9(2): 165-171 (2012) - 2011
- [j7]Guy Freeman
Bayesian MAP model selection of chain event graphs. J. Multivar. Anal. 102(7): 1152-1165 (2011) - 2010
- [j6]Peter A. Thwaites
Causal analysis with Chain Event Graphs. Artif. Intell. 174(12-13): 889-909 (2010) - [j5]Jim Q. Smith, Alireza Daneshkhah
On the robustness of Bayesian networks to learning from non-conjugate sampling. Int. J. Approx. Reason. 51(5): 558-572 (2010) - 2008
- [j4]Jim Q. Smith, Paul E. Anderson:
Conditional independence and chain event graphs. Artif. Intell. 172(1): 42-68 (2008) - 2006
- [j3]Lorraine Dodd, James Moffat, Jim Q. Smith:
Discontinuity in decision-making when objectives conflict: a military command decision case study. J. Oper. Res. Soc. 57(6): 643-654 (2006) - 2003
- [j2]J. Croft, Jim Q. Smith:
Discrete mixtures in Bayesian networks with hidden variables: a latent time budget example. Comput. Stat. Data Anal. 41(3-4): 539-547 (2003) - 1999
- [j1]Jim Q. Smith, K. Nadia Papamichail
Fast Bayes and the Dynamic Junction Forest. Artif. Intell. 107(1): 99-124 (1999)
Conference and Workshop Papers
- 2022
- [c18]Peter Strong, Jim Q. Smith:
Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling. PGM 2022: 61-72 - 2020
- [c17]Aditi Shenvi, Jim Q. Smith:
Constructing a Chain Event Graph from a Staged Tree. PGM 2020: 437-448 - 2019
- [c16]Valerio Perrone, Marco Palma
GASC: Genre-Aware Semantic Change for Ancient Greek. LChange@ACL 2019: 56-66 - 2017
- [c15]Simon French, Nikos Argyris, Jim Q. Smith, Stephanie Haywood, Matthew C. Hort:
Uncertainty Handling during Nuclear Accidents. ISCRAM 2017 - 2016
- [c14]Christiane Görgen, Jim Q. Smith:
A Differential Approach to Causality in Staged Trees. Probabilistic Graphical Models 2016: 207-215 - 2015
- [c13]Christiane Görgen, Manuele Leonelli
A Differential Approach for Staged Trees. ECSQARU 2015: 346-355 - 2013
- [c12]Manuele Leonelli
Using graphical models and multi-attribute utility theory for probabilistic uncertainty handling in large systems, with application to the nuclear emergency management. ICDE Workshops 2013: 181-192 - 2009
- [c11]Silvia Liverani
Searching a Multivariate Partition Space Using MAX-SAT. CIBB 2009: 240-253 - [c10]Peter A. Thwaites, Guy Freeman, Jim Q. Smith:
Chain Event Graph Map Model Selection. KEOD 2009: 392-395 - 2008
- [c9]Peter A. Thwaites, Jim Q. Smith, Robert G. Cowell:
Propagation using Chain Event Graphs. UAI 2008: 546-553 - 2006
- [c8]Peter A. Thwaites, Jim Q. Smith:
Evaluating Causal effects using Chain Event Graphs. Probabilistic Graphical Models 2006: 293-300 - 2004
- [c7]Ana Maria Madrigal, Jim Q. Smith:
Causal Identification in Design Networks. MICAI 2004: 517-526 - 2002
- [c6]Roberto O. Puch, Jim Q. Smith:
FINDS: A Training Package to Assess Forensic Fibre Evidence. MICAI 2002: 420-429 - [c5]Alireza Daneshkhah, Jim Q. Smith:
Multicausal Prior Families, Randomisation and Essential Graphs. Probabilistic Graphical Models 2002 - [c4]Roberto O. Puch, Jim Q. Smith, Concha Bielza:
Inferentially Efficient Propagation in Non-Decomposable Bayesian Network with Hierarchical Junction Trees. Probabilistic Graphical Models 2002 - 1999
- [c3]Raffaella Settimi, Jim Q. Smith:
Geometry, moments and Bayesian networks with hidden variables. AISTATS 1999 - [c2]Raffaella Settimi, Jim Q. Smith, A. S. Gargoum:
Approximate Learning in Complex Dynamic Bayesian Networks. UAI 1999: 585-593 - 1998
- [c1]Raffaella Settimi, Jim Q. Smith:
On the Geometry of Bayesian Graphical Models with Hidden Variables. UAI 1998: 472-479
Informal and Other Publications
- 2024
- [i19]Manuele Leonelli, Jim Q. Smith, Sophia K. Wright:
The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks. CoRR abs/2407.04667 (2024) - [i18]Kieran Drury, Jim Q. Smith:
Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments. CoRR abs/2409.07389 (2024) - 2021
- [i17]Valerio Perrone, Simon Hengchen, Marco Palma
Lexical semantic change for Ancient Greek and Latin. CoRR abs/2101.09069 (2021) - 2020
- [i16]Xuewen Yu
Bayesian Learning of Causal Relationships for System Reliability. CoRR abs/2002.06084 (2020) - [i15]Aditi Shenvi, Jim Q. Smith:
Constructing a Chain Event Graph from a Staged Tree. CoRR abs/2006.15857 (2020) - [i14]Aditi Shenvi, Jim Q. Smith:
Propagation for Dynamic Continuous Time Chain Event Graphs. CoRR abs/2006.15865 (2020) - [i13]F. O. Bunnin, Aditi Shenvi, James Q. Smith:
Network Modelling of Criminal Collaborations with Dynamic Bayesian Steady Evolutions. CoRR abs/2007.04410 (2020) - 2019
- [i12]Valerio Perrone, Marco Palma
GASC: Genre-Aware Semantic Change for Ancient Greek. CoRR abs/1903.05587 (2019) - [i11]F. O. Bunnin, Jim Q. Smith:
A Bayesian Hierarchical Model for Criminal Investigations. CoRR abs/1907.01894 (2019) - 2018
- [i10]Rodrigo A. Collazo, Jim Q. Smith:
An N Time-Slice Dynamic Chain Event Graph. CoRR abs/1808.05726 (2018) - [i9]Rodrigo A. Collazo, Jim Q. Smith:
Properties of an N Time-Slice Dynamic Chain Event Graph. CoRR abs/1810.09414 (2018) - 2017
- [i8]Peter A. Thwaites, Jim Q. Smith:
A Graphical method for simplifying Bayesian Games. CoRR abs/1704.02179 (2017) - 2016
- [i7]Manuele Leonelli, Eva Riccomagno, Jim Q. Smith:
A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. CoRR abs/1607.08485 (2016) - [i6]Manuele Leonelli, Jim Q. Smith:
Directed expected utility networks. CoRR abs/1608.00810 (2016) - 2015
- [i5]Peter A. Thwaites, Jim Q. Smith:
A Separation Theorem for Chain Event Graphs. CoRR abs/1501.05215 (2015) - [i4]Manuele Leonelli, Christiane Görgen, Jim Q. Smith:
Sensitivity analysis, multilinearity and beyond. CoRR abs/1512.02266 (2015) - 2013
- [i3]Raffaella Settimi, Jim Q. Smith, A. S. Gargoum:
Approximate Learning in Complex Dynamic Bayesian Networks. CoRR abs/1301.6738 (2013) - [i2]Raffaella Settimi, Jim Q. Smith:
On the Geometry of Bayesian Graphical Models with Hidden Variables. CoRR abs/1301.7411 (2013) - 2012
- [i1]Peter A. Thwaites, Jim Q. Smith, Robert G. Cowell:
Propagation using Chain Event Graphs. CoRR abs/1206.3293 (2012)
Coauthor Index
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last updated on 2024-10-22 20:17 CEST by the dblp team
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