Marc Raimondo

1. A course on "Smoothing Data" will be given. The aim of the course is to present an overview of the state-of-the-art smoothing methods in nonparametric statistics as well as to give some insight into theoretical considerations which allow a deeper understanding of the reviewed methodologies.

   For more information see the course plan and the schedule for the course. The following is the timetable for the course.

   • Lectures (weeks 3-6): Wednesday 10-12 in MH:309A and Thursday 10-12 in MH:309A
   • Tutorials: Friday (week 3), 10-11, in MH:309A and Thursday (week 4), 13-14 in MH:309A and Friday (week 5-6), 10-11, MH:309A
   • Computer labs: Friday (week 3), 11-12, in MH:231 and Thursday (week 4), 14-15 in MH:231 and Friday (week 5-6), 11-12, MH:231
   • Final Exam: Monday, February 12, 13-15 in MH:309A
   • Computer Exam: Tuesday, February 13, 13-14 in MH:231
   • Tutorial 1
   • Tutorial 2
   • Tutorial 3
   • Tutorial 4
   • Computer Lab 1
   • Computer Lab 2
   • Computer Lab 3
2. A seminar entitled "The WaveD method for wavelet deconvolution with noisy eigen-values" will be given on Friday, January 19 at 13.15; see the homepage of our seminars for the abstract and further info.

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