Courses

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. It will be a travel friendly schedule and the course starts in late October. For further question and registration contact Kristofer Månsson (kristofer.mansson@ju.se). Please register before 25th of August if you wish to take the course so that we can plan. The syllabus cotains 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

Optimal Experimental Design

Course plan

The course is about optimal experimental design – planning of experiments. The basic idea of design optimization (best estimation of unknown model parameters, information or moment matrix, etc.) and commonly used design criteria in linear models are the main parts of the course. Besides optimal designs in classical linear models, optimal designs for estimation and prediction of fixed and random effects in particular mixed models will be discussed.

Course Data
University: 
Linköping
Offered: 
2021:1
Level: 
PhD
Credits (ECTS): 
3
Type of schedule: 
Travel friendly schedule

Optimisation algorithms in Statistics II, 3.5 credits

Based on the topics discussed in first part of the course, we continue with deepening the theoretical basis for stochastic optimisation algorithms. Specifically, we discuss theory around Stochastic Gradient Ascent (including momentum and adaptive step sizes), Simulated Annealing, and Particle Swarm Optimisation. Theoretical results on convergence and speed will be discussed.

See http://gauss.stat.su.se/phd/oasi/optimisation2.html for more information.

Course Data
University: 
Stockholm
Offered: 
2021:1
Level: 
PhD
Credits (ECTS): 
4
Type of schedule: 
Travel friendly schedule

PhD course in Econometrics, 15 ECTS credits, spring 2021

All lectures are expected to be streamed live online, through Zoom. Apart from traditional white-board lectures, there will also be computer classes to ensure a strong connection to empirical econometric modelling.  
We will be following the book Econometric analysis: 8th Edition. W. H. Greene closely throughout the course. The exam will consist of a number of home assignment involving theoretical matters as well as empirical analyses. Students who have not yet applied to the course should do this asap, directly to the course coordinator (see contact info below). 

Course Data
University: 
Linné
Offered: 
2021:1
Level: 
PhD
Credits (ECTS): 
15
Type of schedule: 
Travel friendly schedule

Causal inference

This course will be run on-line via zoom, except for the final exam which is onsite (but local examination might be arranged for PhD students at other universities).

Course Data
University: 
Umeå
Offered: 
2020:2
Level: 
Master
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule

Introduction to Structural Equation Models (7.5 ECTS)

Upon completion of the course, the doctoral student will be able to: explain the basic theoretical foundation and practical use of Structural Equation Models (SEM), apply SEM on real problems, interpret and present the results, estimate structural equation models with maximum likelihood and least squares and be able to evaluate the results.

Course Data
University: 
Dalarna
Offered: 
2020:2
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Schedule to be decided

Statistical Inference I (7.5 hp)

A Ph.D. course in modern statistical inference theory for students in statistics, mathematical statistics, and related areas. Two onsite meetings (Lund and Stockholm) and three online meetings. The details about the course can be found at https://krys.neocities.org/Teaching/StatInf/PhD_stat_inf.html.

Course Data
University: 
Lund
Offered: 
2020:2
Level: 
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule

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