National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Konstrukce vícekrokových predikcí v normálním BVAR(p) modelu za použití Monte Carlo vzorkování
Šindelář, Jan
In Bayesian normal vector AR model (BVAR) of data evolution in a discrete time we are trying to predict the distribution of data up to horizon h. Since the analytical solution of such a prediction is difficult due to the high dimensionality of the problem, we are forced to search for approximative solutions. We propose a solution using Monte Carlo sampling from parameter distribution and later reconstruction of the predictive distribution of data.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.