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email:
Manuele.Leonelli@glasgow.ac.uk
Room 315, School of Mathematics and Statistics, University Place
Leonelli, M. and Gamerman, D. (2020) Semiparametric bivariate modelling with flexible extremal dependence. Statistics and Computing, 30, pp. 221-236. (doi: 10.1007/s11222-019-09878-w)
Leonelli, M. (2019) Sensitivity analysis beyond linearity. International Journal of Approximate Reasoning, 113, pp. 106-118. (doi: 10.1016/j.ijar.2019.06.007)
Leonelli, M., Riccomagno, E. and Smith, J. Q. (2017) A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. Annals of Mathematics and Artificial Intelligence, 81(3-4), pp. 273-313. (doi: 10.1007/s10472-017-9553-y)
Leonelli, M., Görgen, C. and Smith, J. Q. (2017) Sensitivity analysis in multilinear probabilistic models. Information Sciences, 411, pp. 84-97. (doi: 10.1016/j.ins.2017.05.010)
Leonelli, M. and Smith, J. Q. (2017) Directed expected utility networks. Decision Analysis, 14(2), pp. 108-125. (doi: 10.1287/deca.2017.0347)
Leonelli, M. and Smith, J. Q. (2015) Bayesian decision support for complex systems with many distributed experts. Annals of Operations Research, 235(1), pp. 517-542. (doi: 10.1007/s10479-015-1957-7)
Gorgen, C., Leonelli, M. and Smith, J. Q. (2015) A differential approach for staged trees. In: Destercke, S. and Denoeux, T. (eds.) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2015. Series: Lecture Notes in Computer Science (9161). Springer. ISBN 9783319208060 (doi: 10.1007/978-3-319-20807-7_31)
Leonelli, M. and Smith, J. Q. (2013) Using graphical models and multi-attribute utility theory for probabilistic uncertainty handling in large systems, with application to nuclear emergency management. In: 2013 IEEE 29th International Conference on Data Engineering workshops (ICDEW 2013). IEEE: Piscataway, NJ, pp. 181-192. ISBN 9781467353038 (doi: 10.1109/ICDEW.2013.6547448)
Leonelli, M. and Gamerman, D. (2020) Semiparametric bivariate modelling with flexible extremal dependence. Statistics and Computing, 30, pp. 221-236. (doi: 10.1007/s11222-019-09878-w)
Leonelli, M. (2019) Sensitivity analysis beyond linearity. International Journal of Approximate Reasoning, 113, pp. 106-118. (doi: 10.1016/j.ijar.2019.06.007)
Leonelli, M., Riccomagno, E. and Smith, J. Q. (2017) A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. Annals of Mathematics and Artificial Intelligence, 81(3-4), pp. 273-313. (doi: 10.1007/s10472-017-9553-y)
Leonelli, M., Görgen, C. and Smith, J. Q. (2017) Sensitivity analysis in multilinear probabilistic models. Information Sciences, 411, pp. 84-97. (doi: 10.1016/j.ins.2017.05.010)
Leonelli, M. and Smith, J. Q. (2017) Directed expected utility networks. Decision Analysis, 14(2), pp. 108-125. (doi: 10.1287/deca.2017.0347)
Leonelli, M. and Smith, J. Q. (2015) Bayesian decision support for complex systems with many distributed experts. Annals of Operations Research, 235(1), pp. 517-542. (doi: 10.1007/s10479-015-1957-7)
Gorgen, C., Leonelli, M. and Smith, J. Q. (2015) A differential approach for staged trees. In: Destercke, S. and Denoeux, T. (eds.) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2015. Series: Lecture Notes in Computer Science (9161). Springer. ISBN 9783319208060 (doi: 10.1007/978-3-319-20807-7_31)
Leonelli, M. and Smith, J. Q. (2013) Using graphical models and multi-attribute utility theory for probabilistic uncertainty handling in large systems, with application to nuclear emergency management. In: 2013 IEEE 29th International Conference on Data Engineering workshops (ICDEW 2013). IEEE: Piscataway, NJ, pp. 181-192. ISBN 9781467353038 (doi: 10.1109/ICDEW.2013.6547448)