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A Bayesian estimate of the risk of tick-borne diseases
Publication
4 people
Abstract
A Bayesian risk model is proposed and real data analysis evaluated.
People
person
prof. RNDr. Viktor Beneš DrSc.
Faculty of Mathematics and Physics
person
Ing. Josef Machek CSc.
Person without faculty affiliation
person
Marek Jiruše
Person without faculty affiliation
person
Petr Zeman
Person without faculty affiliation