„Bayesian control models“
Suchergebnisse
1.000+ Treffer
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Structure learning for weighted networks based on Bayesian nonparametric models
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The potential of quality control in structural safety: A case study on shear resistance models without shear reinforcement
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Dynamic Optimization – Deterministic and Stochastic Models
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Estimation of reference evapotranspiration using multivariate fractional polynomial, Bayesian regression, and robust regression models in three arid environments
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Bayesian logistic regression in providing categorical streamflow forecasts using precipitation output from climate models
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A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China
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Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates
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Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas
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Dimension reduction for integrating data series in Bayesian inversion of geostatistical models
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Estimation and prediction of the spatial occurrence of fish species using Bayesian latent Gaussian models
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Assessing titanium dioxide nanoparticles transport models by Bayesian uncertainty analysis
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Multiple hydrological models comparison and an improved Bayesian model averaging approach for ensemble prediction over semi-humid regions
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Joint modelling of brain cancer incidence and mortality using Bayesian age- and gender-specific shared component models
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Assessing the predictive causality of individual based models using Bayesian inference intervention analysis: an application in epidemiology
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Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models
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Three essays on Bayesian factor models
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A Bayesian hierarchical model for identifying significant polygenic effects while controlling for confounding and repeated measures
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Learning and Using Multimodal Stochastic Models – A Unified Approach
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Estimating context effects in small samples while controlling for covariates: an optimally regularized Bayesian estimator for multilevel latent variable models
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Deep latent force models: ODE-based process convolutions for Bayesian deep learning