[R-sig-eco] Scholarships - Applied Bayesian modelling for ecologists and epidemiologists (ABME04)

[Oliver Hooker]

PARTFUNDED SCHOLARHPS for the course "Applied Bayesian modelling for 
ecologists and epidemiologists (ABME04)"

This course will run from the 15th - 19th October 2018 in Glasgow City 
Centre, Scotland, UK

https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme04/

PR STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME 
THEY ARE ABLE TO OFFER PART-FUNDED SCHOLARSHIPS FOR THREE UP-COMING 
COURSES


1)	Applied Bayesian modelling for ecologists and epidemiologists 
(ABME04)
As well as…

2)	Introduction to Frequentist and Bayesian mixed (Hierarchical) models 
(IFBM01)
3)	Time series models for ecologists (TSME02)


SCHOLARSHIPS FOR TSME02 CONTRIBUTE TOWARDS COURSE AND ACCOMMODATION FEES 
WITH ALL INCLUSIVE PLACES (accommodation and meals included) AVAILABLE 
AT £500.00 (Fees have been subsidised by 40% from £825.00).


Applications should be sent to oliverhooker using prstatisitics.com and 
contain

the following.

1.              Full name

2.              Institute name

3.              PhD subject title or Post doc research questions

4.              Do you hold a funded position

5.              150 words why this course would be relevant to your 
research or how it would help.

Application deadline is Thursday 20th September and decisions will be 
made by Friday 21st September 2018.

We still have ‘normal’ places available for anyone else interested.

Full course details are given below

Applied Bayesian modelling for ecologists and epidemiologists (ABME04)

https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme04/

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.

-- 
Oliver Hooker PhD.
PR statistics

2018 publications -

Alternative routes to piscivory: Contrasting growth trajectories in 
brown trout (Salmo trutta) ecotypes exhibiting contrasting life history 
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine 
brown trout, Salmo trutta. Biological Journal of the Linnean Society. 
DOI 10.1093/biolinnean/bly032

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