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Hamiltonian Monte Carlo to Characterize Induced Earthquakes
Hamiltonian Monte Carlo to Characterize Induced Earthquakes: Application to a ML 3.4 Event in the Groningen Gas Field and the Role of Prior
The Doctrine of Bayesian Statistics for Inverse Problems
The Doctrine of Bayesian Statistics for Inverse Problems
Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach
Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach
The influence of deviating conditions on levee failure rates
The influence of deviating conditions on levee failure rates
Novel Bayesian Additive Regression Tree Methodology for Flood Susceptibility Modeling
Novel Bayesian Additive Regression Tree Methodology for Flood Susceptibility Modeling
A Markov Traffic Model for Signalized Traffic Networks Based on Bayesian Estimation
A Markov Traffic Model for Signalized Traffic Networks Based on Bayesian Estimation
Ontology alignment
Ontology alignment: Simulated annealing-based system, statistical evaluation, and application to logistics interoperability
Bayesian evaluation and comparison of ontology alignment systems
Bayesian evaluation and comparison of ontology alignment systems
Bayesian oma of offshore rock lighthouses
Bayesian oma of offshore rock lighthouses: Surprises with close modes, symmetry and alignment
Predicting the offender
Predicting the offender: Frequency versus bayes
Light, the universe and everything–12 Herculean tasks for quantum cowboys and black diamond skiers
Light, the universe and everything–12 Herculean tasks for quantum cowboys and black diamond skiers
A Bayesian framework for risk perception
A Bayesian framework for risk perception
Deriving proper uniform priors for regression coefficients, Parts I, II, and III
Deriving proper uniform priors for regression coefficients, Parts I, II, and III
Inquiry calculus and the issue of negative higher order informations
Inquiry calculus and the issue of negative higher order informations
Quantifying Statistical Uncertainty in Site Investigation
Quantifying Statistical Uncertainty in Site Investigation
Bayes Factors and the Observational Method
Bayes Factors and the Observational Method
A simple algorithm to generate small geostatistical ensembles for subsurface flow simulation
A simple algorithm to generate small geostatistical ensembles for subsurface flow simulation
Generic Form of Bayesian Monte Carlo For Models With Partial Monotonicity
Generic Form of Bayesian Monte Carlo For Models With Partial Monotonicity
Ray-based stochastic inversion of pre-stack seismic data for improved reservoir characterisation
Ray-based stochastic inversion of pre-stack seismic data for improved reservoir characterisation
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