Stochastic Processes (7.5hp)

This is a 7.5HP course for Ph.D. students in Statistics. It is planned as a traditional on campus blackboard lecture and exercise session course. The schedule is to be decided yet, but tentatively it will be blocked into two intensive ca week long blocks. Please email me directly, krzysztof_dot_bartoszek_at_liu_dot_se if you are interested in participating.

Course Data
University: 
Linköping
Offered: 
2024:1
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule

Statistical Inference for Ph.D. students

It is a 7.5HP course for Ph.D. students in statistics that is a core course for most if not all Ph.D. programs in Statistics. It is a hybrid course that can be followed online but in-class participation is also scheduled. The details about the course can be found here: 

https://krys.neocities.org/Teaching/StatInf/PhD_stat_inf

 

It starts on Nov. 10, 2023.

 

Krzysztof Podgorski

Course Data
University: 
Lund
Offered: 
2023:2
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule

Statistical Inference I (7.5 hp)

In Fall II 2023, there will be offered a course in Statistical Inference I (7.5hp) for Ph.D. students in statistics and related fields. This initiative to have a national Ph.D. course has been taken by the departments of Statistics in Sweden and will be shared in the instruction duties by:  

Course Data
University: 
Lund
Offered: 
2023:2
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule

Probability theory

This will be a PhD course in probability theory taught by Zangin Zeebari. The course will be hybrid (with one mandatory start-up meeting). Please send an email to Kristofer Månsson before 19th of june if you are interested. (kristofer.mansson@ju.se). The syllabus contains information about content and litterature etc. 

Course Data
University: 
Jönköping
Offered: 
2023:2
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule

Advanced Computational Statistics

This course focuses on computational methods for optimisation, simulation and integration needed in statistics. The optimisation part discusses gradient based, stochastic gradient based, and gradient free methods. Further, constrained optimisation will be a course topic. We will discuss techniques to simulate efficiently for solving statistical problems. The course will start on March 16; course homepage (with full schedule): http://www.adoptdesign.de/frankmillereu/adcompstat2023.html.

Course Data
University: 
Linköping
Offered: 
2023:1
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule

Stochastic differential equations with R school

At the Division of Statistics and Machine Learning, Department of Computer and Information Science, Linköping University, 21st-24th March 2023 we will be hosting a school concerning stochastic differential equations and the YUIMA R package (Simulation and Inference for SDEs and Other Stochastic Processes, https://cran.r-project.org/web/packages/yuima/index.html ) . The lectures will be given by members of the YUIMA team. Below is a nearly final program of the school. The dates are fixed.

Course Data
University: 
Linköping
Offered: 
2023:1
Level: 
PhD
Credits (ECTS): 
3
Type of schedule: 
Travel friendly schedule

Statistical Climatology

Course description

The course will consist of two or three cases, i.e., scientific questions that we seek to answer. Scientific background material, in the form of links, summary texts, and lectures, will be provided to aid the analysis. Technical lectures (detailed or overviews) are available upon request. The class will be divided into groups, each of which do their own analysis. The intent is to have each group contain a broad spectrum of expertise.

Course Data
University: 
Göteborg
Offered: 
2022:2
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Schedule to be decided

Probability theory

This will be a PhD course in probability theory taught by Zangin Zeebari. The course will be online. For further question and registration contact Kristofer Månsson (kristofer.mansson@ju.se). The syllabus contains information about content and litterature etc. 

Course Data
University: 
Jönköping
Offered: 
2022:2
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule

Statistical Inference II

Textbook The course will mainly follow A. W. van der Vaart (1998) Asymptotic Statistics. Cambridge University Press, Cambridge, UK.

Structure Lectures and exercises
Assessment Hand-in exercises.

Pre-requisites Statistical Inference I (7.5 hp), PhD level, or equivalent.


Course plan Selected chapters from van der Vaart (1998) will be covered during the course. The course will be held during June (weeks 23, 24, 25) and August (weeks 33 and 34).

Course Data
University: 
Uppsala
Offered: 
2022:1
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule

Advanced Multivariate Statistics

We invite you to: 

Course Advanced Multivariate Statistics (15 ECTS)

Teacher

Rauf Ahmad: rauf.ahmad@statistik.uu.se
Tatjana Pavlenko: tatjana.pavlenko@statistik.uu.se

Course Data
University: 
Uppsala
Offered: 
2022:1
Level: 
PhD
Credits (ECTS): 
15
Type of schedule: 
Travel friendly schedule

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