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Date:         Tue, 14 Jan 1997 11:35:45 -0800
Reply-To:     Trevor Hastie <trevor@STAT.STANFORD.EDU>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@UGA.CC.UGA.EDU>
From:         Trevor Hastie <trevor@STAT.STANFORD.EDU>
Subject:      Modern Regression and Classification - Hawaii
Content-Type: text/plain; charset=US-ASCII

************* 1997 Course Announcement *********


Waikiki, Hawaii: February 17-18, 1997


A two-day course on widely applicable statistical methods for modeling and prediction, featuring

Professor Trevor Hastie and Professor Robert Tibshirani Stanford University University of Toronto

This course was offered and enthusiastically attended at five different locations in the USA in 1996.

This two day course covers modern tools for statistical prediction and classification. We start from square one, with a review of linear techniques for regression and classification, and then take attendees through a tour of:

o Flexible regression techniques o Classification and regression trees o Neural networks o Projection pursuit regression o Nearest Neighbor methods o Learning vector quantization o Wavelets o Bootstrap and cross-validation

We will also illustrate software tools for implementing the methods. Our objective is to provide attendees with the background and knowledge necessary to apply these modern tools to solve their own real-world problems. The course is geared for:

o Statisticians o Financial analysts o Industrial managers o Medical and Quantitative researchers o Scientists o others interested in prediction and classification

Attendees should have an undergraduate degree in a quantitative field, or have knowledge and experience working in such a field.

PRICE: $750 per attendee if received by January 15, 1997. Full time registered students receive a 40% discount. Attendance is limited to the first 60 applicants, so sign up soon! These courses fill up quickly.

TO REGISTER: Fill in and return the form appended.

For more details on the course and the instructors:

o point your web browser to: OR send a request by o FAX to Prof. T. Hastie at (415) 326-0854, OR o email to

<----------------------------- Cut Here ------------------------------->

Please print, and fill in the hard copy to return by mail or FAX


Modern Regression and Classification

Monday, February 17 and Tuesday, February 18, 1997.

Hilton Hawaiian Village, Waikiki Beach, Honolulu, Hawaii.

Name ___________________________________________________ Last First Middle

Firm or Institution ______________________________________

Standard Registration ____ Student Registration ____

Mailing Address (for receipt) _________________________



__________________________________________________________ Country Phone FAX

__________________________________________________________ email address

__________________________________________ _______________ Credit card # (if payment by credit card) Expiration Date

(Lunch preference - tick as appropriate):

___ Vegetarian ___ Non-Vegetarian

Fee payment can be made by MONEY ORDER , PERSONAL CHECK, or CREDIT CARD (Mastercard or Visa.) For checks and money orders: all amounts are given in US dollar figures. Make fee payable to Prof. T. Hastie. Mail it, together with this completed Registration Form to:

Prof. T. Hastie 538 Campus Drive Stanford CA 94305 USA

For payment by credit card, include credit card details above, and mail to above address, or else FAX form to 415-326-0854

For further information, contact: Trevor Hastie Stanford University Tel. or FAX: 415-326-0854 e-mail:


Standard Registration: U.S. $750 ($950 after Jan 25, 1997)

Student Registration: U.S. $450 ($530 after Jan 25, 1997) Student registrations - include copy of student ID.

- Cancellation policy: No fee if cancellation before Jan 25, 1997. - Cancellation fee after January 25 but before Feb 12, 1997: $100. - Refund at discretion of organizers if cancellation after Feb 12, 1997.

- Registration fee includes course materials, coffee breaks, and lunches

- On-site Registration is possible if course is not fully booked, at late fee.

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