Abstract: Markov chain Monte Carlo (MCMC) is a powerful means for generating random samples that can be used in computing statistical estimates and marginal and conditional probabilities. MCMC methods ...

1 Mathematics Education, Faculty of Mathematics, University of Regensburg, Regensburg, Germany 2 Mathematics Education, Institute of Mathematics, Ludwig Maximilian University Munich, Munich, Germany ...

Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.

In this paper we consider a family of sampling designs for which increasing first-order inclusion probabilities imply, in a specific sense, increasing conditional inclusion probabilities. It is proved ...

Fisheries Acoustic Research Laboratory, University of Washington, School of Aquatic and Fishery Sciences, Seattle, WA, United States Tidal turbines are one source of marine renewable energy but ...

In the world of probability theory and statistics, conditional distribution is an essential concept that helps understand the relationship between two or more events. Conditional distribution provides ...

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Marginal effect measures the change in the dependent variable resulting from a one-unit change in an independent variable in a regression model. Marginal effect is a concept in econometrics that ...