Results 31 to 40 of about 203,140 (297)
On Sharp Identification Regions for Regression Under Interval Data [PDF]
, 2013 The reliable analysis of interval data (coarsened data) is one of the most promising applications of imprecise probabilities in statistics. If one refrains from making untestable, and often materially unjustified, strong assumptions on the coarsening ...
Schollmeyer, Georg, Augustin, Thomas
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Second-Order Risk Constraints in Decision Analysis
Axioms, 2014 Recently, representations and methods aimed at analysing decision problems where probabilities and values (utilities) are associated with distributions over them (second-order representations) have been suggested.
Love Ekenberg +3 more
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For Bayesians, rational modesty requires imprecision [PDF]
, 2015 Gordon Belot (2013) has recently developed a novel argument against Bayesianism. He shows that there is an interesting class of problems that, intuitively, no rational belief forming method is likely to get right.
Weatherson, Brian James +2 more
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Empirical interpretation of imprecise probabilities [PDF]
, 2017 This paper investigates the possibility of a frequentist interpretation of imprecise probabilities, by generalizing the approach of Bernoulli’s Ars Conjectandi.
Cattaneo, Marco
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Meta-inverse Reinforcement Learning Method Based on Relative Entropy [PDF]
Jisuanji kexue, 2021 Aiming at the problem that traditional inverse reinforcement learning algorithms are slow,imprecise,or even unsolvable when solving the reward function owing to insufficient expert demonstration samples and unknown state transition probabilitie,a meta ...
WU Shao-bo, FU Qi-ming, CHEN Jian-ping, WU Hong-jie, LU You
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Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy
Entropy, 2017 Variable selection methods play an important role in the field of attribute mining. The Naive Bayes (NB) classifier is a very simple and popular classification method that yields good results in a short processing time.
Joaquín Abellán, Javier G. Castellano
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A Technical Note on the Dirichlet-Multinomial Model [PDF]
, 2012 This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior to the Multinomial sample distribution as resulting from the general construction method described, e.g., in Bernardo and Smith (2000).
Walter, Gero
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Kongzhi Yu Xinxi Jishu, 2023 Dynamic target tracking is a crucial technique for autonomous underwater vehicles (AUV), enabling key operations such as target detection and reconnaissance.
QIN Hongmao +4 more
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Climate change and urban well-being: a methodology based on Sen theory and imprecise probabilities
Aestimum, 2020 The phenomenon of urban heat waves are becoming a significant public health problem in the summer season. Global warming is therefore not only an environmental problem, but also an ethical and political issue of climate justice. The research was based on
Iacopo Bernetti +3 more
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Possibly extreme, probably not: Is possibility theory the route for risk‐averse decision‐making?
Atmospheric Science Letters, 2021 Ensemble forecasting has become popular in weather prediction to reflect the uncertainty about high‐dimensional, nonlinear systems with extreme sensitivity to initial conditions.
Noémie Le Carrer
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