Courses

Widely applicable statistical methods for modeling and prediction
UPDATED: covering state-of-the-art developments in
boosting methods and support vector machines!

        ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
        +++                                                        +++
        +++        MODERN REGRESSION AND CLASSIFICATION:           +++
        +++                                                        +++
        +++      Widely applicable statistical methods             +++
        +++            for modeling and prediction                 +++
        +++                                                        +++
        +++  UPDATED: covering state-of-the-art developments in    +++
        +++   boosting methods and support vector machines!        +++
        +++                                                        +++
        +++          Palo Alto, CA          November 13-14, 2000   +++
        +++                                                        +++
        +++            Trevor Hastie,                              +++
        +++            Rob Tibshirani, Stanford University         +++
        +++                                                        +++
        ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

This two-day course will give a detailed overview of statistical
models for regression and classification. Known as machine-learning in
computer science and artificial intelligence, and pattern recognition
in engineering, this is a hot field with powerful applications in
finance, science and industry.

This is a very popular course, normally offered only twice a year in
the U.S.  and once overseas. Recently our Munich course was
attended by 65 attendees from all over Europe.

For further information and registration forms see

http://www-stat.stanford.edu/~hastie/mrc.html

or email to Professor Trevor Hastie (hastie@stat.stanford.edu)
or Professor Robert Tibshirani (tibs@stat.stanford.edu) and ask
for full details,

or contact
Prof. Trevor Hastie
Stanford University CA
Phone/FAX: (650) 326-0854