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Sensitive to model misspecification
These
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#94054
Generally true of parametric models; we don't know how sensitive the results will be in particular cases.
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Controlling Infectious Diseases »
Controlling Infectious Diseases
Controlling Infectious DiseasesâMapping the issues around endemic diseasesâsuch as malaria, measles, influenza, HIV, Dengue and West Nile Virusâwith the aims of identifying improved control strategies and of providing insights into to the work of mathematical biologists, epidemiologists and public health officials in this field.âF1CEB7
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Research Questions »
Research Questions
Research QuestionsâWhat are the research priorities for the field?âFFB597
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Open mathematical/computational problems? »
Open mathematical/computational problems?
Open mathematical/computational problems?ââFFB597
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Statistical Methods for model selection and parameter estimation »
Statistical Methods for model selection and parameter estimation
Statistical Methods for model selection and parameter estimationââFFB597
▲
Parametric approaches »
Parametric approaches
Parametric approachesâGiven an explicit (full) model of disease, estimate all parameters (or some parameters, e.g. beta/R0 only assuming others known from independent sources) by fitting to disease dynamicsâFFB597
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Sensitive to model misspecification
Sensitive to model misspecificationâGenerally true of parametric models; we dont know how sensitive the results will be in particular cases.â59C6EF
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If the likelihood function (the prob. model) is correctly specified »
If the likelihood function (the prob. model) is correctly specified
If the likelihood function (the prob. model) is correctly specifiedâGood: for well-behaved distributions, established large sample theory, asymptotically unbiased, asymptotic variance, optimal among asymp. unbiased estimates; likelihood ratio methods (tests, interval estimates). Bad: likelihood surface may have many local maxima ; nuisance parametersâFFFACD
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Eingabe von:
Ben Bolker
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#94054
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Eingabedatum (GMT):
3/2/2011 6:54:00 PM
Zuletzt geÀndert am (GMT):
3/2/2011 6:54:00 PM
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