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PhD - NOVA Courses 2008
PhD - Student mobility

 

PhD courses and programmes 2008

NOVA 29-08
Bootstrap Methods and their Applications
Network: Informatics (IT) in Agriculture

Information up-dated: 2007-06-15

Course period June 16-27, 2008
Location Umeå campus, SLU, Sweden
Course credit 6
Deadline for application April 30, 2008
Course abstract

Bootstrap methods introduced by Bradley Efron (1979) belong to the class of computer-intensive methods useful for statistical analysis. They are based on simulation techniques and can be used to calculate standard errors, confidence intervals and significance tests. The methods are today not only used by statisticians, but also applied by researchers in the life sciences, medical sciences, social sciences, business, econometrics, and other areas where by tradition statistics is used. The methods apply for any level of modelling, and can be used for parametric, semi-parametric, and nonparametric analysis. This course will present a broad and up-to-date coverage of bootstrap methods with many applied examples.

Course plan Course plan
Course schedule Course schedule
Teachers Anthony Christopher Davison, Ecole Polytechnique Féderale de Lausanne
David V. Hinkley, University of California, Santa Barbara
Dietrich von Rosen, SLU
Jun Yu, SLU
Link to course homepage http://www.dina.dk/phd/s/s11/
Language English
The course is intended for PhD students
Max no of participants 24
Special prerequisites Familiarity with computers at user level, with basic probability calculus and with basic statistics.
Course organization Dept. of Biometry and Informatics/Biostochastics, SLU
Course leader Dietrich von Rosen
Postal address to course leader Dept. of Biometry and Informatics, SLU
750 07 Uppsala
Sweden
Phone to course leader +46 18 672025
Fax to course leader +46 18 673529
E-mail to course leader Dietrich.von.Rosen@bt.slu.se
Registration to Mette Holst
Other courses in the course series o Bayesian approach - when and why (not): Structural equations modeling and Bayesian analysis Häme Polytechnic, Mustiala Faculty of Agriculture, Finland, July 31 - August 10, 2007
o Object oriented modelling and software development with agricultural applications Tune Landboskole, August 13-24 2006.
o Likelihood-based inference for hierarchical/mixed statistical models
Tune Landboskole, August 7-18 2005.
o Pattern Recognition in High Dimensional Data and Complex Structures
Umeå Campus, SLU, Sweden, June 6-18, 2004
o Reasoning under Uncertainty in Agriculture: Bayesian Networks and Graphical Models Tune Landboskole, August 10-21 2003.
o Design of Data Generation - Experimental Design
Häme Polytechnic, Mustiala Faculty of Agriculture, Finland, July 28 - August 9, 2002
o Short course: Modeling and Analysis of Biological Processes and Systems
Sigtunastiftelsen, Sigtuna, Sweden, June 13-18, 2002
o Geographical Information and Spatial Analysis in Agriculture
Ås Campus, June 18-28 2001.
o Differential Equations and Dynamic Systems in Agriculture
Tune Landboskole, August 20-31 2000.
o Computer Intensive Statistical Methods - with Biological Applications
Tune Landboskole, August 16-27 1999.
o Software construction in Java for agricultural applications. (Dina Research School PhD course) Tune Landboskole, August 17-28 1998.
Link to the courses