Separation of aleatory and epistemic uncertainty in probabilistic model validation
نویسندگان
چکیده
منابع مشابه
Numerical Probabilistic Analysis under Aleatory and Epistemic Uncertainty
This paper discusses Numerical Probabilistic Analysis (NPA) for problems under aleatory and epistemic uncertainty. The basis of NPA are numerical operations on probability density functions of the random values and probabilistic extensions. The numerical operations of the histogram arithmetic constitute the major component of NPA. The concepts of natural, probabilistic and histogram extensions ...
متن کاملEpistemic versus Aleatory Judgment Under Uncertainty
Both cases involve judgment under uncertainty, with a mixture of evidence supporting and opposing each event’s likelihood. Yet, they involve what appears to be two qualitatively distinct representations of uncertainty. In the first case, Allie’s uncertainty reflects the unpredictability inherent to a stochastic process (i.e., random draws from the pool of Bingo numbers). This type of uncertaint...
متن کاملInclusion of Aleatory and Epistemic Uncertainty in Design Optimization
1. Abstract This paper presents a design optimization methodology under three sources of uncertainty: physical variability (aleatory); data uncertainty (epistemic) due to sparse or imprecise data; and model uncertainty (epistemic) due to modeling errors/approximations. A likelihood-based method is use to fuse multiple formats of information, and a non-parametric probability density function (PD...
متن کاملJudgment Extremity and Accuracy under Epistemic versus Aleatory Uncertainty
People view uncertain events as either knowable in principle (epistemic uncertainty), as fundamentally random (aleatory uncertainty), or as some mixture of the two. We show that people make more extreme probability judgments (i.e., closer to 0 or 1) for events they view as entailing more epistemic uncertainty and less aleatory uncertainty. We demonstrate this pattern in a domain where there is ...
متن کاملMixed aleatory and epistemic uncertainty quantification using fuzzy set theory
Article history: Received 17 April 2015 Received in revised form 18 June 2015 Accepted 6 July 2015 Available online 22 July 2015
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Reliability Engineering & System Safety
سال: 2016
ISSN: 0951-8320
DOI: 10.1016/j.ress.2015.10.003