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pro vyhledávání: '"Shatskikh, Katherine"'
Traditional epidemic detection algorithms make decisions using only local information. We propose a novel approach that explicitly models spatial information fusion from several metapopulations. Our method also takes into account cost-benefit conside
Externí odkaz:
http://arxiv.org/abs/1509.04229
Autor:
Shatskikh, Katherine
Publikováno v:
Shatskikh, Katherine. (2017). Epidemic Detection in Two Populations. 0035: Statistics and Applied Probability. Retrieved from: http://www.escholarship.org/uc/item/4x1556mb
Traditional epidemic detection algorithms make decisions using only local information. We propose a novel approach that explicitly models spatial information fusion from several meta-populations. Our method also takes into account cost-benefit consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::371e88b39cc958df6bcd4962f5608dfa
http://www.escholarship.org/uc/item/4x1556mb
http://www.escholarship.org/uc/item/4x1556mb