DGPE PhD course: Mixed Effect Modelling - from linear to non-linear models

9-10 September 2019. Lecturer: Douglas Bates

2019.08.09 | Susanne Christensen

Date Mon 09 Sep Tue 10 Sep
Time 09:00    16:00
Location Department of Economics, University of Copenhagen

This course provides an introduction to mixed effects modeling theory and practice. The course puts a lot of emphasize on issues in estimation methods and actual implementations in software.

During the first lectures, the students will be introduced to the Julia programming language. Historically R, and before that S, has been the go-to language for mixed effects modelling, with packages authored by the lecturer such as lme4 and nlme. In this course, the past implementations will be compared and contrasted to the more recent MixedModels.jl package for Julia.

The remaining lectures will be spent on mixed effects models, both linear an non-linear. Focus will be on types of models, types of estimation techniques, and how to efficiently chose between, and implement, them.

After the course, student who complete this course will have a basic understanding of using Julia for scientific computing and writing fast code. They will also be able to recognize and choose between various methods for estimating mixed effect models, and understand how and why algorithmic and implementation details matter for efficiently working with such models.

At the end of the course, students hand in a written assignment.

This course is equivalent to 1,5 ECTS points.

> Syllabus

Course fee

The course is free of charge for:

1. DGPE members from AU, KU, CBS and SDU.

2. PhD students from Economics Departments at Nordic universities outside Denmark.

The course fee is EUR200 for other participants.

Registration

https://events.au.dk/DGPEmixedeffects2019

Registration deadline: 2 September 2019

When and where

The course takes place at Department of Economics, University of Copenhagen.
> how to find Copenhagen University 

Contact

Patrick Kofod Mogensen, University of Copenhagen, patrick.kofod.mogensen@econ.ku.dk
Administrative support: Charlotte Jespersen, University of Copenhagen, charlotte.jespersen@econ.ku.dk

DGPE Courses