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Fuzzy memberships as likelihood functions in a possibilistic framework JOURNAL ARTICLE published September 2017 in International Journal of Approximate Reasoning Research funded by INdAM-GNAMPA (2015 U2015/000418) | INdAM-GNAMPA (2016 U2016/000391) |
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Models for pessimistic or optimistic decisions under different uncertain scenarios JOURNAL ARTICLE published February 2019 in International Journal of Approximate Reasoning Research funded by University of Perugia (FRB2017_COLETTI) | “La Sapienza” University of Rome (C26A15Y4EZ) |
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Inferential models and relevant algorithms in a possibilistic framework JOURNAL ARTICLE published July 2011 in International Journal of Approximate Reasoning |
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Detecting correlation between extreme probability events JOURNAL ARTICLE published 2 January 2020 in International Journal of General Systems |
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Consequences of the minimum specificity principle on conditioning and on independence in possibility theory JOURNAL ARTICLE published September 2023 in International Journal of Approximate Reasoning |
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Addressing ambiguity in randomized reinsurance stop-loss treaties using belief functions JOURNAL ARTICLE published October 2023 in International Journal of Approximate Reasoning |
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Envelopes of conditional probabilities extending a strategy and a prior probability JOURNAL ARTICLE published February 2017 in International Journal of Approximate Reasoning Research funded by INdAM-GNAMPA (U2015/000418,U2016/000391) |
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Finitely maxitive T-conditional possibility theory: Coherence and extension JOURNAL ARTICLE published April 2016 in International Journal of Approximate Reasoning Research funded by INdAM-GNAMPA (U2015/000418) | Ministry of Education, University and Research (2010FP79LR_003) |
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When upper conditional probabilities are conditional possibility measures PROCEEDINGS ARTICLE published 2015 in Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology |
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Bayesian Approach with Entropy Prior for Open Systems PROCEEDINGS ARTICLE published 12 November 2019 in The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
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A scale-free structure prior for Bayesian inference of Gaussian graphical models PROCEEDINGS ARTICLE published November 2014 in 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |
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A Weakly Informative Prior for Resonance Frequencies PROCEEDINGS ARTICLE published 4 November 2021 in The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
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Global Variance as a Utility Function in Bayesian Optimization PROCEEDINGS ARTICLE published 5 November 2021 in The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
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Surrogate-Enhanced Parameter Inference for Function-Valued Models PROCEEDINGS ARTICLE published 21 December 2021 in The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
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Receiver function deconvolution using transdimensional hierarchical Bayesian inference JOURNAL ARTICLE published 1 June 2014 in Geophysical Journal International |
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Bayesian inference in control charts using normal prior JOURNAL ARTICLE published 1 January 2023 in International Journal of Statistics and Applied Mathematics |
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Function Formula Oriented Construction of Bayesian Inference Nets for Diagnosis of Cardiovascular Disease JOURNAL ARTICLE published 2014 in BioMed Research International Research funded by University of Macau (MYRG2014-00060-FST,016/2012/A1) |
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BAYESIAN INFERENCE, PRIOR INFORMATION ON VOLATILITY, AND OPTION PRICING: A MAXIMUM ENTROPY APPROACH JOURNAL ARTICLE published January 2005 in International Journal of Theoretical and Applied Finance |
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Bayesian Inference and Maximum Entropy Methods in Science and Engineering—MaxEnt 2019† PROCEEDINGS ARTICLE published 22 November 2019 in The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
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Variational Bayesian Approach in Model-Based Iterative Reconstruction for 3D X-Ray Computed Tomography with Gauss-Markov-Potts Prior PROCEEDINGS ARTICLE published 21 November 2019 in The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |