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Frequentist coverage of adaptive nonparametric Bayesian credible sets [PDF]
, 2015 We investigate the frequentist coverage of Bayesian credible sets in a nonparametric setting. We consider a scale of priors of varying regularity and choose the regularity by an empirical Bayes method.
Szabó, Botond +2 more
core +4 more sources
A review of predictive uncertainty estimation with machine learning [PDF]
Artificial Intelligence Review, 2022 Predictions and forecasts of machine learning models should take the form of probability distributions, aiming to increase the quantity of information communicated to end users.
Hristos Tyralis +1 more
semanticscholar +1 more source
Neglect Of Parameter Estimation Uncertainty Can Significantly Overestimate Structural Reliability
Transactions of the VŠB: Technical University of Ostrava, Civil Engineering Series, 2015 Parameter estimation uncertainty is often neglected in reliability studies, i.e. point estimates of distribution parameters are used for representative fractiles, and in probabilistic models. A numerical example examines the effect of this uncertainty on
Rózsás Árpád, Sýkora Miroslav
doaj +1 more source
A New Neutrosophic Confidence Density Model for Statistical Effectiveness Evaluation in Highway and Bridge Project Internal Control [PDF]
Neutrosophic Sets and SystemsThis paper proposes a new mathematical model in the field of neutrosophic probability and statistics, called the Neutrosophic Confidence Density Function (NCDF).
Shuai Huang, Kesong Zhu
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Application of elements of probability theory and mathematical techniques in crop production [PDF]
BIO Web of ConferencesThe paper is concerned with key aspects of applying probability theory and mathematical techniques to crop production. Special attention is given to simulation of seeding planning using stochastic processes, risk assessment by means of probability ...
Kondrashova Elizaveta +1 more
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Yantu gongcheng xuebao, 2017 The inherent variability of soil properties has currently received considerable attention in slope reliability analysis. However, the geological uncertainty is often ignored in analysis.
DENG Zhi-ping 1,2, LI Dian-qing 1,2, CAO Zi-jun 1,2, PHOON Kok Kwang 1,2
doaj +1 more source
, 2020 In the first part of this study (Paper I), we introduced the systematic improvement probability (SIP) as a tool to assess the level of improvement on absolute errors to be expected when switching between two computational chemistry methods.
Pernot, Pascal, Savin, Andreas
core +3 more sources
Robust spectrum sensing under noise uncertainty for spectrum sharing
ETRI Journal, 2019 Spectrum sensing plays an important role in spectrum sharing. Energy detection is generally used because it does not require a priori knowledge of primary user, (PU) signals; however, it is sensitive to noise uncertainty.
Chang‐Joo Kim +3 more
doaj +1 more source
Geotechnical uncertainty, modeling, and decision making
Soils and Foundations, 2022 Modeling only constitutes one aspect of decision making. The prevailing limitation of applying modeling to practice is the absence of explicit consideration of uncertainties.
Kok-Kwang Phoon +9 more
doaj +1 more source
IEEE Access, 2019 An information system is a database that represents relationships between objects and attributes. A set-valued information system is the generalized model of a single-valued information system.
Xiaoliang Xie +3 more
doaj +1 more source