Results 11 to 20 of about 769,141 (192)
Predictive uncertainty assessment in flood forecasting using quantile regression
H2Open Journal, 2023 Floods and their associated impacts are topics of concern in land development planning and management, which call for efficient flood forecasting and warning systems.
Amina M. K., Chithra N. R
doaj +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
doaj +1 more source
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
An Introduction to Probability, Statistics, and Uncertainty [PDF]
, 2017 Processes that are not fully understood, and whose outcomes cannot be precisely predicted, are often called uncertain. Most of the inputs to, and processes that occur in, and outputs resulting from, water resource systems are not known with certainty.
Daniel P. Loucks, Eelco van Beek
openaire +1 more source
, 2020 The comparison of benchmark error sets is an essential tool for the evaluation of theories in computational chemistry. The standard ranking of methods by their Mean Unsigned Error is unsatisfactory for several reasons linked to the non-normality of the ...
Pernot, Pascal, Savin, Andreas
core +2 more sources
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
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
Theoretical characterization of uncertainty in high-dimensional linear classification
Machine Learning: Science and Technology, 2023 Being able to reliably assess not only the accuracy but also the uncertainty of models’ predictions is an important endeavor in modern machine learning. Even if the model generating the data and labels is known, computing the intrinsic uncertainty after ...
Lucas Clarté +3 more
doaj +1 more source