Results 61 to 70 of about 964,661 (301)
Probabilistic Opinion Pooling with Imprecise Probabilities [PDF]
Journal of Philosophical Logic, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rush T. Stewart, Ignacio Ojea Quintana
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AI &Innovation, EarlyView.ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez +2 more
wiley +1 more source
MathematicsProbabilistic risk assessment of complex offshore oil and gas systems is often challenged by scarce statistical data and multiple uncertainties. Traditional point-value probability and standard Bayesian networks cannot fully represent and propagate these
Shibo Wu +3 more
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Energies, 2023 Uncertainties are widely present in the design and simulation of aero-engine combustion systems. Common non-probabilistic convex models are only capable of processing independent or correlated uncertainty variables, while conventional precise ...
Hongjie Tang +6 more
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American Journal of Agricultural Economics, EarlyView.Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen +5 more
wiley +1 more source
Ingeniería e Investigación, 2008 This article presents a rainfall model constructed by applying non-parametric modelling and imprecise probabilities; these tools were used because there was not enough homogeneous information in the study area.
Ibsen Chivatá Cárdenas
doaj
, 2019 This chapter explores the topic of imprecise probabilities (IP) as it relates to model validation. IP is a family of formal methods that aim to provide a better representation of severe uncertainty than is possible with standard probabilistic methods. Among the methods discussed here are using sets of probabilities to represent uncertainty, and using ...
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Farm labor scarcity and its uneven impacts on crop producers in the United States
American Journal of Agricultural Economics, EarlyView.Abstract This study is the first to evaluate the impacts of farm labor scarcity on producers in the United States across different crop production systems. Between 2002 and 2017, we disentangle the effects of labor scarcity from the impacts of rising commodity demand, technological change, and supply of other inputs on labor market outcomes.
Srabashi Ray +4 more
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Strictly frequentist imprecise probability
International Journal of Approximate ReasoningStrict frequentism defines probability as the limiting relative frequency in an infinite sequence. What if the limit does not exist? We present a broader theory, which is applicable also to random phenomena that exhibit diverging relative frequencies.
Christian Fröhlich +2 more
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Autism Research, EarlyView.ABSTRACT Youth with autism spectrum disorder or attention‐deficit/hyperactivity disorder (ADHD) may face barriers to sexual and reproductive health (SRH) services. Yet, data on preventive SRH service use remain limited, especially digital care. This population‐based registry study investigated whether patterns of SRH service use differed by digital ...
Lovisa Hellsten +6 more
wiley +1 more source