|
|
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 |
|
|
|