Results 51 to 60 of about 4,973,385 (395)
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
doaj +1 more source
SLIDES: California Water and Climate Change [PDF]
, 2003 Presenter: Dan Cayan, Scripps Institution of Oceanography 32 slides Dan Cayan (1,2) 1 Mike Dettinger (2,1) SIO 2 USGS
Cayan, Dan, Dettinger, Mike
core +2 more sources
SLIDES: A History of Climate Variability and Change in the American West [PDF]
, 2013 Presenter: Kelly T. Redmond, Regional Climatologist, Western Regional Climate Center (WRCC), Desert Research Institute 65 ...
Redmond, Kelly T.
core +2 more sources
Maxallent: Maximizers of all Entropies and Uncertainty of Uncertainty [PDF]
, 2013 The entropy maximum approach (Maxent) was developed as a minimization of the subjective uncertainty measured by the Boltzmann--Gibbs--Shannon entropy. Many new entropies have been invented in the second half of the 20th century.
Gorban, A. N.
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Abstract and Applied Analysis, 2013 This paper focuses on the development of a bilevel optimization model with random coefficients for a production-inventory system. The expected value operator technique is used to deal with the objective function, and rough approximation is applied to ...
Liming Yao, Jiuping Xu
doaj +1 more source
Impact of ploidy and pathogen life cycle on resistance durability
Peer Community Journal, 2021 The breeding of resistant hosts based on the gene-for-gene interaction is crucial to address epidemics of plant pathogens in agroecosystems. Resistant host deployment strategies are developed and studied worldwide to decrease the probability of ...
Saubin, Méline +4 more
doaj +1 more source
Agreed and Disagreed Uncertainty [PDF]
arXiv, 2023 When agents' information is imperfect and dispersed, existing measures of macroeconomic uncertainty based on the forecast error variance have two distinct drivers: the variance of the economic shock and the variance of the information dispersion. The former driver increases uncertainty and reduces agents' disagreement (agreed uncertainty).
arxiv
Quantifying Uncertainty in Infectious Disease Mechanistic Models [PDF]
, 2021 This primer describes the statistical uncertainty in mechanistic models and provides R code to quantify it. We begin with an overview of mechanistic models for infectious disease, and then describe the sources of statistical uncertainty in the context of a case study on SARS-CoV-2.
arxiv +1 more source
The Impact of Uncertainty Shocks
, 2007 Uncertainty appears to jump up after major shocks like the Cuban Missile crisis, the assassination of JFK, the OPEC I oil-price shock and the 9/11 terrorist attack.
N. Bloom
semanticscholar +1 more source
Towards Best Practice Framing of Uncertainty in Scientific Publications: A Review of Water Resources Research Abstracts [PDF]
, 2017 Uncertainty is recognized as a key issue in water resources research, amongst other sciences. Discussions of uncertainty typically focus on tools and techniques applied within an analysis, e.g. uncertainty quantification and model validation.
Elsawah, Sondoss +4 more
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