Reconstruction of Petroleum Feedstocks by Entropy Maximization. Application to FCC Gasolines

ML estimation in the presence of a nuisance vector Using the Expectation Max- imization (EM) algorithm Or the Bayesian Expectation Maximization (BEM) algorithm... ML estimation in

In the expectation, or E-step, the missing data are estimated given the observed data and current estimate of the model parameters... achieved using the conditional

6(a) the in-degree distribution of the investment network shows that some mixing was succesfully introduced among firms belonging to different sectors, unlike in the case of block

In the case of a homogeneous spin ensemble and a very short control duration, we show numerically that the optimal field corresponds to the Ernst angle solution.. We investigate

The objective of this paper is twofold: (i) provide a detailed study of the smoothness of the successive marginal densities induced by the MH kernel, assuming only mild

maximum entropy principle for capacities is less natural than for probability distributions because the notion of uniformity in the context of capacities is not naturally linked

In this section, we display several numerical experiments to illustrate the relevance of the derived viscous hydrostatic reconstruction scheme (20) and (13) with the water

By relaxing the additivity property of probability mea- sures, requiring only that they be monotone, one ob- tains Choquet capacities [1], also known as fuzzy mea- sures [13], for