Bayesian Markov chain Monte Carlo (MCMC)
Bayesian Markov chain Monte Carlo (MCMC)
Σκοπός της εργασίας είναι να προσομοιώσει σε προγραμματιστικό περιβάλλον τύπου R μπευζιανά στατιστικά δεδομένα έτσι ώστε μέσω πρόβλεψης να πάρουμε όσο πιο κοντά αποτελέσματα γίνεται στις πραγματικές τιμές των δεδομένων.
Greece
- University of the Aegean Greece
Μπευζιανή στατιστική, By MCMC algorithms, Προσομοιωμένη, Simulated, Bayesian statistics, MCMC αλγόριθμους
Μπευζιανή στατιστική, By MCMC algorithms, Προσομοιωμένη, Simulated, Bayesian statistics, MCMC αλγόριθμους
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average
Fields of Science
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