Introduction to Bayesian statistics and hierarchical modelling in R

This course will provide a simple introduction to Bayesian statistics and hierarchical models in R. These models are essential parts of an ecologists’ toolkit, allowing estimation of population sizes, trends and distributions. The course will combine some theory on Bayesian statistics and hierarchical modelling, as well as practical sessions implementing such models in R using the JAGS language.

Morning: introduction to Bayesian statistics (theory)

Afternoon: Bayesian GLMs, introduction to JAGS (practical)

Morning: introduction to hierarchical models (theory)

Afternoon: hierarchical models in JAGS (practical)

Morning: applications of hierarchical models

Afternoon: hierarchical models in JAGS (practical)

3 days - 18 hours - Schedule: 09:30 - 12:30 & 14:00 - 17:00

Coordination

Luke L. Powell | BIOPOLIS-CIBIO

Crinan Jarrett | Swiss Ornithological Institute, Sempach, Switzerland

Instructor (s)

Luke L. Powell | BIOPOLIS-CIBIO
Crinan Jarrett | Swiss Ornithological Institute, Sempach, Switzerland
Gonçalo Curveira Santos | BIOPOLIS-CIBIO

The course will be open to a maximum number of 15 participants. 

75% of available student slots are reserved for BIODIV students.

 Priority will be given to:

• 1st year and other PhD students attending the BIODIV Doctoral Program;

• PhD students attending other courses;

• Other post-graduate students and researchers.

(A minimum number of participants is required for the course to take place)

Deadline:  09 April 2025

To apply fill the FORM

A copy of the form will be sent to the email address you provide as proof that you have successfully submitted your application. Results will be emailed to you within 8 working days of the application deadline.

65€ (students) | 100€ (other participants).

BIOPOLIS/ CIBIO members will have an additional discount of 20%. Participation is free of charge for BIODIV Students (M BGE & PhD) & CIBIO's TwinLabs 

(If applicable, payment will be made to Associação BIOPOLIS - VAT No. 516033727. Information on the payment amount and the payment deadline will be sent together with the results notification, and a proforma invoice may be issued in due time).

Registration fees do not include accommodation or meals. 

No ECTS credits are awarded for attending the course. Participants receive a certificate of attendance without quantitative evaluation.