Recent Advances and Trends in Nonparametric Statistics
eBook - ePub

Recent Advances and Trends in Nonparametric Statistics

  1. 522 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Recent Advances and Trends in Nonparametric Statistics

About this book

The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium.Key features: • algorithic approaches• wavelets and nonlinear smoothers• graphical methods and data mining• biostatistics and bioinformatics• bagging and boosting• support vector machines• resampling methods

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Yes, you can access Recent Advances and Trends in Nonparametric Statistics by M.G. Akritas,D.N. Politis in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright page
  5. Preface
  6. 1: Algorithmic Approaches to Statistics
  7. 2: Functional Data Analysis
  8. 3: Nonparametric Model Building and Inference
  9. 4: Goodness of Fit
  10. 5: High-dimensional Data and Visualization
  11. 6: Nonparametric Regression
  12. 7: Topics in Nonparametrics
  13. 8: Nonparametrics in Finance and Risk Management
  14. 9: Bioinformatics and Biostatistics
  15. 10: Resampling and Subsampling
  16. 11: Time Series and Stochastic Processes
  17. 12: Wavelet and Multiresolution Methods
  18. Author Index