Event Calendar

Methods Courses & Summer Schools

03.09 - 07.09.2018

MMS Summer School 2018 on Statistical Modeling and Data Analysis

Venue: Oberwolfach Research Institute for Mathematics (MFO)

Experimental or observational data of high or infinite dimensionality are getting common in institutes of all sections of the Leibniz Association. This creates an increasing demand for adequate modern data analysis techniques. At the same time reproducibility of experiments and their statistical analyses lead to new requirements for good scientific practice and requests for open source and open science.

We will address both topics with the first PhD Summer School of the Leibniz Network “Mathematical Modeling and Simulation” in a way that provides knowledge transfer from mathematical and applied statistics into various scientific communities and helps to develop skills in R programming, statistical modeling and reproducible data analysis. The School will be problem oriented. Participants are asked to provide their data and problems in advance (see below).

Introductory morning sessions are planned to cover the following topics:

Complex 1: R programming and good scientific practice

  • R and R programming,
  • Version control
  • Dynamic documents and reproducible research with R using knitr and LaTeX
  • Open source and open science, requirements for reproducible research and publications

Complex 2: Modeling high-dimensional data (will be adjusted according to the particular problems provided by the participants)

  • Multiple testing using False Discovery Rates (FDR)
  • Dimension reduction, low rank approximation, sparsity regularization
  • Reproducible variable selection in regression and classification

Complex 3: Statistical methods for functional data (will be adjusted according to the particular problems provided by the participants)

  • Curves (growth curves, spectra, ...) and images as covariates or response
  • Mean, median and covariances of functional data
  • Dimension reduction, regression, classification
  • Registering functional data (warping) and shapes

Afternoon sessions in smaller groups will be used to discuss selected submitted problems and to model and analyze the corresponding data. Data analysis will be performed using the R Language and Environment for Statistical Computing and Graphics. Participants are asked to bring their own laptop with R and preferably R-studio installed.

Speakers:

 

For further information and registration please follow this link: www.wias-berlin.de/research/Leibniz-MMS/SummerSchool18.jsp

 

 

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