Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling
doctoral thesis by Joseph Dureau
Press Enter · cited answer in seconds
0 sources
Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling
Summary
Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling is a doctoral thesis[1].
Key Facts
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling authored Joseph Dureau[2].
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling's instance of is recorded as doctoral thesis[3].
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling's language of work or name is recorded as English[4].
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling was released on 2013[5].
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling's work available at URL is recorded as https://researchonline.lse.ac.uk/id/eprint/131660/[6].
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling's number of pages is recorded as {'unit': '1', 'amount': '+154'}[7].
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling's title is recorded as Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling[8].
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling's thesis submitted to is recorded as London School of Economics and Political Science[9].
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling's on focus list of Wikimedia project is recorded as LSEThesisProject[10].
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling's copyright status is recorded as copyrighted[11].
- Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling's online access status is recorded as open access[12].
Body
Designation and Status
Bayesian inference for indirectly observed stochastic processes, applications to epidemic modelling's instance of is recorded as doctoral thesis[3].