Courses

Crash Course on FDA and ML of complex data 17 - 19. April 2024

Submitted by podgorsk on March 11, 2024 - 13:48
In an era of explosive growth in complex data, our course is your bridge to a deeper understanding of Functional Data Analysis (FDA) and Machine Learning (ML). The main challenge today isn't data availability but rather our ability to interpret it. Join our growing community of professionals applying ML to tackle complex data challenges. This crash course highlights key developments at the intersection of FDA and ML, with a focus on handling complex functional data. Moreover, as a student, you have the opportunity to earn 3 ECTS credits by submitting a report at the end of the workshop.
Course Data
University: 
Lund
Offered: 
2024:1
Level: 
Master
PhD
Credits (ECTS): 
3
Type of schedule: 
Travel friendly schedule

Nonparametric Econometrics

Submitted by makr on March 6, 2024 - 00:20
The goal of this summer course is to enhance students' understanding and skills in applied nonparametric econometrics. Initially, the course aims to provide a comprehensive foundation in nonparametric statistical methods. This is important for addressing the disconnect between economics and statistics in this field. This is a summer course that takes place between the 24th and 28th of June at Blekinge tekniska högskola.
Course Data
University: 
Jönköping
Offered: 
2024:1
Level: 
PhD
Credits (ECTS): 
4
Type of schedule: 
Travel friendly schedule

Stochastic Processes (7.5hp)

Submitted by kbart on December 11, 2023 - 13:48

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

Advanced Bayesian Learning, 7.5 credits

Submitted by matvil on November 27, 2019 - 17:55

This is an advanced course in Bayesian statistics for PhD students in statistics, computer science, the engineering sciences and other related fields.
The course is divided into 4 contemporary topics in Bayesian analysis, and the choice of topics can vary from year to year depending on the research frontier. Students can pick and choose among the topics and will be given 2 credits for each selected topic.
The planned topics for the current year are:

1. Gaussian Processes with Applications
2. Bayesian Nonparametrics
3. Variational Inference

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

Statistical Inference for Ph.D. students

Submitted by podgorsk on October 25, 2023 - 12:54

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)

Submitted by podgorsk on September 10, 2023 - 12:17

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

Submitted by makr on May 22, 2023 - 11:19

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

Submitted by Frank Miller on December 20, 2022 - 15:02

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

Submitted by kbart on December 12, 2022 - 15:26

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

Submitted by johantykesson on September 23, 2022 - 01:39

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

Pages