ECTS: 3.9
Course leader: Jakob Skou Pedersen
Language: English
Graduate school: Faculty of Health
Status: Course is finished
Semester: Fall 2020
Application deadline: 02/11/2020
Cancellation deadline: 16/11/2020
Start date: 30/11/2020
Administrator: Annette Poulsen
Title: Bayesian statistics with applications in genomics
Reg.no: C295/01
is being offered by the Graduate School of Health, Aarhus University, fall 2020
Criteria for participation: The course targets computer scientists, bioinformaticians, and biologists or clinicians with strong drive towards informatics and data analysis. The participants should have a university degree in the above disciplines and / or be postgraduate research fellows (PhD students and research-year medical students).
Aim: To apply Bayesian statistics in the analysis of biological or clinical data.
Learning outcomes:
- To understand the principles and central concepts of Bayesian statistics
- Be able to translate and formalize simple scientific questions to ayesian models
- Be able to perform Bayesian statistical analysis in R and Stan
- To understand and apply a range of inference methods
Content:
- Bayesian statistics concepts (ideas, priors and posteriors, updating…, MAP and other measures on the posterior)
- Statistical model formalism and specification in R / Stan
- Inference: MAP using grid evaluation; perhaps normal approximations
- More advanced Bayesian stats concepts (posterior predictive value, model selection)
- Inference: MCMC -- basic concepts, implementation of MH sampler on some simple problem, and use in modern inference engines
- Information criteria
- Variational inference techniques
- Comprehensive practical exercises and workshops using R and Stan on data analysis
- Full day hackathon with focus on your own problem and data or locally available data and open problems
- Guest lectures on statistical data analysis, problems in genomics, clinical data analysis
Language: English
ECTS: 3.9
Head of course: Prof. Jakob Skou Pedersen (and Asst. Prof. Lasse Maretty), MOMA
Instructors: Data analyst Simon Drue, PhD stud. Simon Grund Sørensen, post doc Mikkel Hovden
Number of participants: 25
Time and date: 30 Nov. - 4 Dec. 2020 from 8:30 - 16:30 every day - with an optional hackathon on day 4 after end of course day.
Place: Kollokvierum Øst, The Victor Albeck building, Vennelyst Blvd. 4, 8000 Aarhus.
Course fee: DKK 4.680
Participation in the course is without cost for:
- PhD students, Research Year students and Research Honours Programme students from Aarhus University
- PhD students enrolled at partner universities of the Nordoc collaboration
- PhD students from other institutions in the open market agreement for PhD courses
Application deadline: 2 November 2020
Application: https://service.health.au.dk/modules/Course/mypage/coursecalendar.
Course dates:
- 30 November 2020 08:30 - 16:30
- 01 December 2020 08:30 - 16:30
- 02 December 2020 08:30 - 16:30
- 03 December 2020 08:30 - 16:30
- 04 December 2020 08:30 - 16:30