Bayesian Statistics I
This course will give you an introduction to Bayesian analysis, with emphasis on understanding the basic concepts and methods and simple problems that will be studied in detail. It will also give you an overview on how to analyse more complicated- and real-life statistical problems.
Information for admitted students Spring 2021
Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.
In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.
Follow the instructions on wether you have to reply to your offer or not.
universityadmissions.se
Checklist for admitted students
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Activate your university account
The first step in being able to register and gain access to all the university's IT services.
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Register at your department
Registration can be done in different ways. Read the instructions from your department below.
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Read all the information on this page
Here you will find what you need to know before your course or programme starts.
IMPORTANT
Your seat may be withdrawn if you do not register according to the instructions provided by your department.
Information from the department - courses
On this page we have collected important information for applicants to the Department of Statistics.
Reply to your admission offer
If you are admitted or reserve to a course in the second admission round, the last day to accept your admission offer is December 16th. If you do not accept your admission offer, your place will go to a reserve.
If you have any questions about your admittance to our courses, please contact the study counsellor.
Web registration
The web registration will be open via Ladok for students between 28th December - 10th January.
All admitted students have to make their web registrations to keep their study places. If you do not make your web registration by the 10th of January, you will lose your place to a reserve.
To make your web registration, you will need an university account:
Information video on how to get started with your university account
Please note: Contact the study counsellor or the Student office by January 10th if you are conditionally admitted to a course and therefore cannot make your web registration.
Reserve to any of our courses?
If you are a reserve to any of our courses, and you get admitted to the course, we will contact you during the week before the Spring semester begins, 11th -17th January. We will use the e-mail adress that you have submitted to universityadmissions.se
International student?
If you are an international student, you might need assistance to make your course registrations. Please contact the study counsellor before the 10th of January if you need assistance with your registration.
Information about our courses
You will find course information on the course web pages and on the study platform Athena. To get access to the course site on Athena you need to be regstered for the course.
For more information about studying at the Department of statistics go to the page Study information. If you are a Master's Student, you will also find up to date information at the Master Studies page.
Information about the start of the semester at Stockholm university
You will find useful information in the folder A Smooth Start, and in the information for new students.
You will also get a welcoming to Stockholm University, and information during the Welcome activities!
More information on your statistics studies
Q & A regarding the corona virus
Read more on the department website
Welcome activities
Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
Find your way on campus
Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
Read more
For new international students
After taking this course, you will understand the difference between various interpretations of probability and be able to formulate a statistical problem on the basis of a Bayesian perspective. You will both learn to solve standard statistical problems using Bayesian methods and to solve statistical problems using simulation-based computational methods, such as the Markov Chain Monte Carlo (MCMC), which are often used in Bayesian inference.
In Bayesian inference, parameters are considered to be random variables and any previous knowledge about these parameters is expressed as a probability distribution, the so called a priori distribution. This prior distribution is then updated to a posterior distribution by using Bayes’ theorem to combine it with the observed data which is expressed through the likelihood function. The a posterior distribution, thus, expresses evidence about the parameters after data has been observed.
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Course structure
The course is given at day time, full time.
The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course.
Teaching format
The teaching forms consist of lectures and exercises.
Language: English.
Course informatin
- Schedule autumn 2020
- Schedule spring 2021
- Course structure and contents
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Course Literature (70 Kb)
- Up to date course information autumn 2020
More information for registered students will be found in Athena.
Assessment
Examination will be in the form of written and oral examination.
Examiner
Teachers autumn 2020 and spring 2021
Course coordinator
Teaching assistant
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Contact
If you have questions about the course, please contact the cours coordinator:
Teachers autumn 2020 and spring 2021
Course coordinator
Teaching assistant
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor: Jenny Rosen.