The emphasis of the workshop is on the applications of smoothing methods to data. Several sessions will be centred around discussion of specific datasets, which are available on the data set portion of this web site. We hope that workshop participants will take a look at the data sets before the workshop. Other sessions will consist of more traditional-style presentations.

You can participate by presenting a paper and/or joining in data analysis and/or listening and learning. There is no registration fee for the workshop. However, for logistical reasons we ask that you please register by Monday June 1. Accommodations should be reserved before that date, by filling out the appropriate information on the registration form. If you would like to present a paper, please submit an abstract by Friday May 16 (this date has been extended).

Some funding may be available. To be considered for funding, please contact Nancy Heckman (heckman@stat.ubc.ca) as soon as possible. Graduate students are particularly encouraged to attend.

Nancy Heckman, UBC (organizer)
Kiros Berhane, University of Southern California:
      generalized additive models with longitudinal
     data: air pollution and asthma data
Hans Mueller and Jane-Ling Wang, UC Davis: biological curve data
Doug Nychka, N C State University and NCAR:
      weather data and FUNFITS demo
Jim Ramsay, McGill: Whither smoothing?
John Rice, UC Berkeley: astronomy data session