Computer Intensive Methods in Statistics

The computer has created new fields in statistics. Numerical
and statisticalproblems that were unattackable five to ten
years ago can now be computed even on portable personal
computers. A computer intensive task is for example the
numerical calculation of posterior distributions in
Bayesiananalysis. The Bootstrap and image analysis are two
other fields spawned by the almost unlimited computing
power. It is not only the computing power through that has
revolutionized statistics, the graphical interactiveness on
modern statistical invironments has given us the possibility
for deeper insight into our data.
This volume discusses four subjects in computer intensive
statistics as follows:
- Bayesian Computing
- Interfacing Statistics
- Image Analysis
- Resampling Methods

About the author

Wolfgang Härdle is a professor of statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. the Centre for Applied Statistics and Economics. He teaches quantitative finance and semiparametric statistical methods. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected ISI member and advisor to the Guanghua School of Management, Peking University and to National Central University, Taiwan.

Product details

• Assisted by: Wolfgan Härdle (Editor), Wolfgang Härdle (Editor), Simar (Editor), Simar (Editor), Léopold Simar (Editor)
• Publisher: Physica-Verlag
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.1993
• EAN: 9783790806779
• ISBN: 978-3-7908-0677-9
• No. of pages: 176
• Weight: 320 g
• Illustrations: 30 SW-Abb., 17 Tabellen,
• Series: Statistics and Computing; Statistics and Computing
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics