16th Applied Statistics 2019
International Conference
September 22 - 25, 2019
Ribno (Bled), Slovenia

Past conferences:

2018 2017 2016 2015
2013 2012 2011 2010 2009
2008 2007 2006 2005 2004
 before 2004


  Important dates

      June 1

  Acceptance note
     July 1
  Reduced early
  payment fee
     July 15



Statistics meets machine learning: the example of statistical boosting

Riccardo De Bin
Department of Mathematics
University of Oslo, Norway

Starting with a brief discussion on the relationship between statistics and machine learning (and data science) and on the basic concepts of statistical learning (overfitting, bias-variance trade-off, etc.), the workshop will focus on boosting, a specific method for data analysis which combines the powerfulness of a machine learning technique and the interpretability of a statistical model. Originally developed as a black-box for classification, boosting has been succesively statistically interpreted and, thanks to its flexibility, profitably applied to many statistical problems. Advantages of boosting, in addition to the aforementioned flexibility, include the ability to cope with high-dimensional data, implicit variable selection and shrinkage. The workshop will present boosting from a statistical point of view, focusing on its practical implementation in R and on the interepretation of the results.

The participants should be familiar with R programming and bring their own laptops, with the latest version of R. The use of R Studio is also encouraged. A wireless connection to the Internet will be provided.

 Applied Statistics 2019      http://conferences.nib.si/AS2019                                e-mail: info.AS@nib.si