Auflistung Nach Schlagwort "Bayesian"
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An approach for modelling multiple correlated outcomes in a network of interventions using odds ratios
(2014)A multivariate meta-analysis of two or more correlated outcomes is expected to improve precision compared with a series of independent, univariate meta-analyses especially when there are studies reporting some but not all ... -
Bayesian estimation of sensitivity and specificity of serum ELISA and faecal culture for diagnosis of paratuberculosis in Greek dairy sheep and goats
(2006)Latent class models were used to estimate the sensitivity (Se) and the specificity (Sp) of a serum ELISA and a faecal culture (FC) method for the diagnosis of paratuberculosis separately, in sheep and goats. The estimates ... -
Bayesian estimation of the true prevalence of Mycobacterium avium subsp paratuberculosis infection in Cypriot dairy sheep and goat flocks
(2011)We estimated the prevalence of Mycobacterium avium subsp. paratuberculosis (MAP) infected sheep and goats, older than 2 years, reared in the region effectively controlled by the Government of the Republic of Cyprus, in ... -
Bayesian estimation of variance partition coefficients adjusted for imperfect test sensitivity and specificity
(2009)The variance partition coefficient (VPC) measures the clustering of infection/disease among individuals with a specific covariate pattern. Covariate-pattern-specific VPCs provide insight to the groups of individuals that ... -
A Bayesian Expectation-Maximization (BEM) methodology for joint input-state estimation and virtual sensing of structures
(2022)The joint input-state estimation and virtual sensing of structures are reformulated on a Bayesian probabilistic foundation, focusing on data-driven uncertainty quantification and propagation. The variation of input forces ... -
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 uncertainty quantification for machine-learned models in physics
(2022)Being able to quantify uncertainty when comparing a theoretical or computational model to observations is critical to conducting a sound scientific investigation. With the rise of data-driven modelling, understanding various ... -
A Bayesian Weibull survival model for time to infection data measured with delay
(2010)Survival analysis methods can be used to identify factors associated with the time to induction of infection In the absence of a perfect test, detection of infection is generally delayed and depends on the duration of the ... -
A new W-SVM kernel combining PSO-neural network transformed vector and Bayesian optimized SVM in GDP forecasting
(2020)Considering that in the literature there is a very limited number of studies proposing new SVM kernels especially in regression problems, the scope of this research is to investigate the development of a novel Support ...