Having seen Bayesian field theoretical models working for Gaussian prior factors we will study in this section the slightly more complex prior mixture models. Prior mixture models are an especially ...

Students learn to identify various methods for separating mixtures to define density. Matter: Separation of Mixtures: Students learn to identify various methods for separating mixtures, to define ...

Do you know a great example of high density living environments built within the last 30 years? Share your knowledge and contribute to the creation of an open repository via Crowd Creation. To be ...

We provide sufficient conditions under which a Dirichlet location-scale mixture of normal prior achieves weak and strong posterior consistency at a true density. Our conditions involve both the prior ...

The value-at-risk is a useful metric employed by financial institutions to measure the risk of a portfolio. However, accurately forecasting the value-at-risk is difficult as it requires forecasting ...

University Park, PA (WJAC) — Penn State women's basketball hosted its media day on Tuesday as the team prepares for the upcoming college basketball season. The Lady Lions season is steadily ...

The variety of industrial applications for different slurries necessitates a reliable method for evaluating the density of these unique mixtures. Accurate and repeatable density measurements can be ...