Line-sampling-based Monte Carlo method

A Markov chain satisfying the detailed balance condition admits f ν as an invariant

This approach can be generalized to obtain a continuous CDF estimator and then an unbiased density estimator, via the likelihood ratio (LR) simulation-based derivative estimation

Cette m´ ethode repose sur la loi des grands nombres. Montrer que cet estimateur peut s’´ ecrire comme la moyenne empirique de n variables al´ eatoires ind´ ependantes et

Monte Carlo MC simulation is widely used to estimate the expectation E[X ] of a random variable X and compute a con dence interval on E[X ]... What this talk

Incorporating the different sources of uncertainty that affect the overall performance into the recommender effectiveness analysis complicates the evaluation

Once we have decided that the particle is “significantly” in the matrix, we have to compute its coordinate at this time by simulating the longitudinal component, and using the

Whenever a configuration is accepted, the energies of the excited states are computed as well as the os- cillator strengths corresponding to the optically al- lowed

Dans notre travail de calcul de la dose physique transférée à l'organe concerné, nous utilisons le code MCNP pour calculer la dose en simulant la tête de l'accélérateur