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10.3390/e22080874 http://scihub22266oqcxt.onion/10.3390/e22080874 33286645!7517477!33286645     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33286645&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Entropy+(Basel) 2020 ; 22 (8): ? Nephropedia Template TP {{tp|p=33286645|t=2020. Some Dissimilarity Measures of Branching Processes and Optimal Decision Making in the Presence of Potential Pandemics |pdf=|usr=}}{{33286645}} gab.com Text Some Dissimilarity Measures of Branching Processes and Optimal Decision Making in the Presence of Potential Pandemics JO: Entropy (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33286645 #FOAvip We compute exact values respectively bounds of dissimilarity/distinguishability measures-in the sense of the Kullback-Leibler information distance (relative entropy) and some transforms of more general power divergences and Renyi divergences-between two competing discrete-time Galton-Watson branching processes with immigration GWI for which the offspring as well as the immigration (importation) is arbitrarily Poisson-distributed; especially, we allow for arbitrary type of extinction-concerning criticality and thus for non-stationarity. We apply this to optimal decision making in the context of the spread of potentially pandemic infectious diseases (such as e.g., the current COVID-19 pandemic), e.g., covering different levels of dangerousness and different kinds of intervention/mitigation strategies. Asymptotic distinguishability behaviour and diffusion limits are investigated, too. Twit Text FOAVip Some Dissimilarity Measures of Branching Processes and Optimal Decision Making in the Presence of Potential Pandemics ????Entropy (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33286645 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33286645 #FOAvip English Wikipedia <ref>{{Cite pmid|33286645}}</ref> Some Dissimilarity Measures of Branching Processes and Optimal Decision Making in the Presence of Potential Pandemics #MMPMID33286645 Kammerer NB; Stummer W Entropy (Basel) 2020[Aug]; 22 (8): ? PMID33286645show ga We compute exact values respectively bounds of dissimilarity/distinguishability measures-in the sense of the Kullback-Leibler information distance (relative entropy) and some transforms of more general power divergences and Renyi divergences-between two competing discrete-time Galton-Watson branching processes with immigration GWI for which the offspring as well as the immigration (importation) is arbitrarily Poisson-distributed; especially, we allow for arbitrary type of extinction-concerning criticality and thus for non-stationarity. We apply this to optimal decision making in the context of the spread of potentially pandemic infectious diseases (such as e.g., the current COVID-19 pandemic), e.g., covering different levels of dangerousness and different kinds of intervention/mitigation strategies. Asymptotic distinguishability behaviour and diffusion limits are investigated, too. ?Some Dissimilarity Measures of Branching Processes and Optimal Decisio(epmc).pdf DeepDyve Pubget Overpricing