Sentence examples for model parameter space from inspiring English sources

The degree of similarity is directly proportional to the distance between the participants in the model parameter space.

Metropolis and Metropolis-Hastings are the two standard algorithms for sampling the model parameter space (the posterior).

pyBLoCXS includes a flexible definition of priors and can efficiently probe the model parameter space to characterize the posterior distributions.

Williamson, D. et al. History matching for exploring and reducing climate model parameter space using observations and a large perturbed physics ensemble.

Abstract: Theoretical models of stars constitute the fundamental bedrock upon which much of astrophysics is built, but large swaths of model parameter space remain uncalibrated by observations.

Modern Bayesian data analysis methods rely mostly on Markov Chain Monte Carlo (MCMC) to explore the model parameter space when searching for signals in the pulsar timing data.

The VC matrix is estimated from bootstrapped models using a first-order approximation of the model parameters space.

In previous work (Crout et al., 2009; Tarsitano et al., 2011) we used estimates of the likelihood integrated over the models parameter space (Kass and Rafferty, 1995) as measures of the prediction skill of each reduced model combination.

Further analysis of the designs show that for the range of model parameters considered, misspecification of the model parameters can reduce the efficiency of the experimental design to 30% or less: proper selection of the model parameters at which the design is developed within the model-parameter space can increase the maximum minimum design efficiency to nearly 55%.

These values correspond to the constrained minimum error stated in equation (11) obtained in 1,000 iterations designed to explore a wider region in model-parameter space thus improving the chance of approaching the global minimum at a reasonable computational cost.

For each of the five models, the best performance was selected by searching over the respective model-parameter space.