Göm meny

LiU


LinStat2014 August 24 - 28, 2014


The International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat2014) will be held 24-28 August, 2014, in Linköping, Sweden, at Linköping university. This is the follow-up of the 2012 edition held in Będlewo near Poznań, Poland.

The purpose of the conference is to bring together researchers sharing an interest in a variety of aspects related to linear statistical inference and offer them a possibility to discuss current developments in these subjects. The topics of interest include, but are not limited to:
  • Statistical Inference: Theory and Applications
  • Multilevel models: Theory and Applications
  • Model Selection and Dimension Reduction: Theory and Applications
  • Design of Experiments: Theory and Applications
  • Optimal Design: Theory and Applications
  • Mixed Linear Models: Theory and Applications
  • High-Dimensional Statistical Analysis: Theory and Applications
  • Categorical Data Analysis: Theory and Applications
  • Survey Methodology including Small Area Estimation
  • Numerical Methods and Linear Models: Theory and Applications
  • Biostatistics: Theory and Applications
  • Multivariate Analysis: Theory and Applications
  • Bayesian Statistics: Theory and Applications
  • Matrix Theory and Linear Models: Theory and Applications
Connected to the above mentioned topics are very distinguished speakers which are listed in Invited Speakers. The conference consists of invited speakers sessions, contributed speakers sessions, young scientist speaker session and a poster session. Sessions on special topics (listed in Special Sessions) will also be organized. Before the conference a mini course on Survey Sampling and Linear Models will take place.

The work of young scientists is highly appreciated. The Scientific Committee will award the best presentation and best poster. The awarded will be Invited Speakers at the next edition of LinStat.















GRAPES Swedish Network for Graduate and Postgraduate Education in Statistics      SSfr

Sidansvarig: Martin Singull
Senast uppdaterad: 2014-02-17