Parcourir par sujet "Bayesian analysis"
Voici les éléments 1-12 de 12
-
Adaptive Bayesian Inference Framework for Joint Model and Noise Identification
(2022)Model updating, the process of inferring a model from data, is prone to the adverse effects of modeling error, which is caused by simplification and idealization assumptions in the mathematical models. In this study, an ... -
Allometric biomass models for european beech and silver fir: Testing approaches to minimize the demand for site‐specific biomass observations
(2020)In this paper, site‐specific allometric biomass models were developed for European beech (Fagus sylvatica L.) and silver fir (Abies alba Mill.) to estimate the aboveground biomass in Șinca virgin forest, Romania. Several ... -
A bayesian identification methodology for selection among Pareto optimal structural models using modal residuals
(2005)The structural parameter estimation problem based on measured modal data is formulated as a multi-objective optimization problem in which modal metrics measuring the fit between measured and model predicted groups of modal ... -
A Bayesian methodology for crack identification in structures using strain measurements
(2010)A Bayesian system identification methodology is presented for estimating the crack location, size and orientation in a structure using strain measurements. The Bayesian statistical approach combines information from measured ... -
Bayesian mixture models for partially verified data: Age- and stage-specific discriminatory power of an antibody ELISA for paratuberculosis
(2013)Bayesian mixture models can be used to discriminate between the distributions of continuous test responses for different infection stages. These models are particularly useful in case of chronic infections with a long ... -
Diagnostic Accuracy Estimates for COVID-19 Real-Time Polymerase Chain Reaction and Lateral Flow Immunoassay Tests With Bayesian Latent-Class Models
(2021)Our objective was to estimate the diagnostic accuracy of real-time polymerase chain reaction (RT-PCR) and lateral flow immunoassay (LFIA) tests for coronavirus disease 2019 (COVID-19), depending on the time after symptom ... -
Environmental Kuznets curves: Bayesian evidence from switching regime models
(2001)The purpose of the paper is to test empirically the existence of an environmental Kuznets curve (EKC), using switching regime models along with cross-sectional data and Bayesian Markov chain Monte Carlo methods to perform ... -
Optimal sensor placement for artificialA swimmers
(2019)Natural swimmers rely for their survival on sensors that gather information from the environment and guide their actions. The spatial organization of these sensors, such as the visual fish system and lateral line, suggests ... -
Probabilistic damage identification of a designed 9-story building using modal data in the presence of modeling errors
(2017)Validity and accuracy of model based identification techniques such as linear finite element (FE) model updating are sensitive to modeling errors. Models used for the design and performance assessment of civil structures ... -
Sample size estimation to substantiate freedom from disease for clustered binary data with a specific risk profile
(2013)Disease cases are often clustered within herds or generally groups that share common characteristics. Sample size formulae must adjust for the within-cluster correlation of the primary sampling units. Traditionally, the ... -
Structural identification based on optimally weighted modal residuals
(2007)The structural parameter estimation problem based on measured modal data is often formulated as a weighted least-squares problem in which modal residuals measuring the fit between experimental and model predicted modal ... -
Using Bayesian hierarchical modelling to capture cyanobacteria dynamics in Northern European lakes
(2020)Cyanobacteria blooms in lakes and reservoirs currently threaten water security and affect the ecosystem services provided by these freshwater ecosystems, such as drinking water and recreational use. Climate change is ...