Submitted by pergosta on December 18, 2018 - 10:23
The aim is to provide some theory concerning asymptotic methods of statistics and probability with applications to inference problems. Knowledge of measure theory is not needed. Basic convergence concepts and results (with proofs) such as the Lindeberg-Lévy central limit theorem should have been covered in previous courses.
To sign up for the course send an e-mail to per.gosta.andersson@stat.su.se
Submitted by jolanta.pielasz... on March 16, 2018 - 18:12
Course Code:3FNA023 ECTS credits: 5 Level Doctoral course Course contents
The course will cover the following topics:
- an introduction to wavelet analysis
- the Discrete Wavelet Transform (DWT)
- the Maximal Overlap DWT (MODWT)
- the wavelet variance, covariance, correlation and cross correlation
There will be three 3-days gatherings each comprising 18h of lecturing. The first meeting will take place in Växjö, 12-14 October, the second meeting will be held in Stockholm, 5-7 December and the third one is organized in Uppsala, 8-10 February.
Instructors who so far have agreed to participate are Thomas Holgersson, Björn Holmquist, Hans Nyquist, Dietrich von Rosen, Rolf Sundberg and Silvelyn Zwanzig. There will be another three so each meeting will be run by three instructors.
Teacher and examiner: Dan Hedlin, Department of Statistics, Stockholm University. .
Topic
We focus on design-based sampling with the Horvitz-Thompson and the generalised regression estimators. (Advanced Survey Sampling II will go further into model assisted estimation). The main course book is Särndal, Swensson and Wretman (1992); for part I we limit ourselves to Chapters 1-7. Although the focus is on design-based sampling we will put this inferential framework into some wider context.
We are happy to invite to the course on Longitudinal Data Analysis (3hp). The course is funded by GRAPES but all interested in Longitudinal Data Analysis can participate. The course will present material on Repeated Measurements, Mixed Linear Models, Generalized Linear Models, Model Validation and Data Analysis. All together the course comprises 12h lectures and 12h computer classes.
GRAPES will refund travel and accomodation costs for PhD students at Swedish universities.
In conjunction with the LinStat 2014 a mini-course (8h) entitled 'Survey sampling and linear models' will be held by professor Stephen Haslett, Massey University, New Zealand and professor Simo Puntanen, University of Tampere, Finland, August 23-24.
The course is sponsored by GRAPES and GRAPES will refund travel and accommodation costs for PhD students at Swedish universities.
Submitted by ghazishukur on August 21, 2012 - 15:05
This course will be run during week 39, 24 september - monday, 28 september 2012 at 10:00 to frieday 28 September 12:00 (full-time course) at the School of <?xml:namespace prefix = st1 ns = "urn:schemas-microsoft-com:office:smarttags" />Business and Economics, Linnaeu University, Växjö.
Introduction to spatial data analysis, representing space, interfacing geographical information systems, space-time data, spatial statistics overview (point patterns, geostatistics, areal data). Use of GIS and spatial statistics for radioecological modeling and mapping using Chernobyl- and Fukushima-related data, focusing on public health protection.
