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Probabilistic Opinion Pooling with Imprecise Probabilities [PDF]
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Stewart, Rush T., Quintana, Ignacio Ojea
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Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Bounding probabilistic sea-level projections within the framework of the possibility theory
Despite progresses in climate change science, projections of future sea-level rise remain highly uncertain, especially due to large unknowns in the melting processes affecting the ice-sheets in Greenland and Antarctica.
Gonéri Le Cozannet +2 more
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ABSTRACT Background Classified as carcinogenic to humans by the International Agency for Research on Cancer, aluminum production has been transitioning towards lower polycyclic aromatic hydrocarbon‐emitting prebake smelters. This study explored the risk of cancer and mortality over 20 years follow‐up among a cohort of aluminum prebake smelter workers ...
Natasha Kinsman +7 more
wiley +1 more source
In this paper, we illustrate an implementation with Maple V of some procedures which allow to exactly propagate precise and imprecise probability assessments.
Veronica Biazzo
doaj
Design flood corresponding to probable maximum precipitation (PMP) is often used in risk assessment of large hydraulic structures. PMP is widely estimated using the Hershfield method (HM) when reasonably long precipitation records are available, but ...
Jaya Bhatt, V. V. Srinivas
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Abstract Despite documented ecomorphological shifts toward an herbivorous diet in several coelurosaurian lineages, the evolutionary tempo and mode of these changes remain poorly understood, hampered by sparse cranial materials for early representatives of major clades. This is particularly true for Therizinosauria, with representative crania best known
William J. Freimuth, Lindsay E. Zanno
wiley +1 more source
Engineering Design under Imprecise Probabilities: Computational Complexity
In engineering design problems, we want to make sure that a certain quantity c of the designed system lies within given bounds - or at least that the probability of this quantity to be outside these bounds does not exceed a given threshold.
Vladik Kreinovich
doaj
Dynamic Precise and Imprecise Probability Kinematics
We introduce dynamic probability kinematics (DPK), a method for an agent to mechanically update subjective beliefs in the presence of partial information. We then generalize DPK to dynamic imprecise probability kinematics (DIPK), which allows the agent to express their initial beliefs via a set of probabilities in order to further take ambiguity into ...
Caprio, Michele, Gong, Ruobin
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ABSTRACT Megalithic landscapes in Southeast Iberia remain unevenly and insufficiently documented, particularly in rugged areas where traditional survey methods are limited. This paper addresses this gap by applying a multiscalar approach to the megalithic necropolises of the Fardes River (Granada, Spain), with the objective of detecting, documenting ...
Carolina Cabrero González +3 more
wiley +1 more source

