Statistical Inference for Multi-Pathogen Systems
نویسندگان
چکیده
منابع مشابه
Statistical Inference for Multi-Pathogen Systems
There is growing interest in understanding the nature and consequences of interactions among infectious agents. Pathogen interactions can be operational at different scales, either within a co-infected host or in host populations where they co-circulate, and can be either cooperative or competitive. The detection of interactions among pathogens has typically involved the study of synchrony in t...
متن کاملstatistical inference via empirical bayes approach for stationary and dynamic contingency tables
چکیده ندارد.
15 صفحه اولStatistical Inference for Nonlinear Dynamical Systems
To my family, for their love and support ii ACKNOWLEDGEMENTS This dissertation is the end result of my stay at the University of Michigan during which I have benefited from contact and varied relationships with many members of its community. I thank my advisor Professor Edward Ionides for his patient advice, generosity with his time and for the encouragement to join the statistics research comm...
متن کاملExact Statistical Inference for Some Parametric Nonhomogeneous Poisson Processes
Nonhomogeneous Poisson processes (NHPPs) are often used to model recurrent events, and there is thus a need to check model fit for such models. We study the problem of obtaining exact goodness-of-fit tests for certain parametric NHPPs, using a method based on Monte Carlo simulation conditional on sufficient statistics. A closely related way of obtaining exact confidence intervals in parametri...
متن کاملProcrustean statistical inference of deformations
A two step method has been devised for the statistical inference of deformation changes. In the first step of this method and based on Procrustes analysis of deformation tensors, the significance of the change in a time or space series of deformation tensors is statistically analyzed. In the second step significant change(s) in deformations are localized. In other words, they are assigned to ce...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLoS Computational Biology
سال: 2011
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1002135