This course may interest some studying animal behaviour with a reference to ecology.

PS statistics has a course on "Behavioural data analysis using maximum likelihood in R" - learn how to build custom models for your behavioural data using maximum likelihood.

This course will be relevant to any studying the behaviour in animals (or humans).

https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml01/

The course is delivered by Dr. Will Hoppitt and will take place in Glasgow from the 19th - 23rd March 2018

Course Overview:
This 5-day course will involve a combination of lectures and practical sessions. Students will learn to build and fit custom models for analysing behavioural data using maximum likelihood techniques in R. This flexible approach allows a researcher to a) use a statistical model that directly represents their hypothesis, in cases where standard models are not appropriate and b) better understand how standard statistical models (e.g. GLMs) are fitted, many of which are fitted by maximum likelihood. Students will learn how to deal with binary, count and continuous data, including time-to-event data which is commonly encountered in behavioural analysis.
After successfully completing this course students should be able to:
1) fit a multi-parameter maximum likelihood model in R
2) derive likelihood functions for binary, count and continuous data
3) deal with time-to-event data
4) build custom models to test specific behavioural hypotheses
5) conduct hypothesis tests and construct confidence intervals
6) use Akaike’s information criterion (AIC) and model averaging
7) understand how maximum likelihood relates to Bayesian techniques

Please email oliverhoo...@psstatistics.com with any questions or visit our website.

Feel free to share this anywhere you see fit and also check out our sister sites.

www.PRstatistics.com (ecology and life sciences)
www.PRinformatics.com (bioinformatics and data science)
www.PSstatisitcs.com (behaviour and cognition)



--
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology.

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