[R-sig-Epi] ONLINE COURSE – Applied Bayesian modelling for ecologists and epidemiologists

[Oliver Hooker]

ONLINE COURSE – Applied Bayesian modelling for ecologists and
epidemiologists (ABME06) This course will be delivered live

https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme06/

July 20th - 24th

TIME ZONE – Central European Summer Time – however all sessions will
be recorded and made available allowing attendees from different time
zones to follow a day behind with an additional 1/2 days support after
the official course finish date (please email
oliverhooker using prstatistics.com for full details or to discuss how we
can accommodate you).

Course Overview:

This application-driven course will provide a founding in the basic
theory & practice of Bayesian statistics, with a focus on MCMC
modeling for ecological & epidemiological problems. Starting from a
refresher on probability & likelihood, the course will take students
all the way to cutting-edge applications such as state-space
population modelling & spatial point-process modelling. By the end of
the week, you should have a basic understanding of how common MCMC
samplers work and how to program them, and have practical experience
with the BUGS language for common ecological and epidemiological
models. The experience gained will be a sufficient foundation enabling
you to understand current papers using Bayesian methods, carry out
simple Bayesian analyses on your own data and springboard into more
elaborate applications such as dynamical, spatial and hierarchical
modelling.

email oliverhooker using prstatistics.com with any questions


-- 
Oliver Hooker PhD.
PR statistics

2020 publications;
Parallelism in eco-morphology and gene expression despite variable
evolutionary and genomic backgrounds in a Holarctic fish. PLOS
GENETICS (2020). IN PRESS

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