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Nonparametric Statistics for Stochastic Processes

Estimation and Prediction

  • Book
  • © 1998

Overview

Authors:
  1. D. Bosq

    1. Institut de Statistique, Université Pierre et Marie Curie, Paris cedex 05, France

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Part of the book series: Lecture Notes in Statistics (LNS, volume 110)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Synopsis

    • D. Bosq
    Pages 1-15

  3. Inequalities for mixing processes

    • D. Bosq
    Pages 17-39

  4. Density estimation for discrete time processes

    • D. Bosq
    Pages 41-65

  5. Regression estimation and prediction for discrete time processes

    • D. Bosq
    Pages 67-87

  6. Kernel density estimation for continuous time processes

    • D. Bosq
    Pages 89-128

  7. Regression estimation and prediction in continuous time

    • D. Bosq
    Pages 129-144

  8. The local time density estimator

    • D. Bosq
    Pages 145-167

  9. Implementation of nonparametric method and numerical applications

    • D. Bosq
    Pages 169-195

  10. Back Matter

    Pages 197-212
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Keywords

Authors and Affiliations

  • Institut de Statistique, Université Pierre et Marie Curie, Paris cedex 05, France

    D. Bosq

Bibliographic Information

  • Book Title: Nonparametric Statistics for Stochastic Processes

  • Book Subtitle: Estimation and Prediction

  • Authors: D. Bosq

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-1718-3

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1998

  • Softcover ISBN: 978-0-387-98590-9Published: 13 August 1998

  • eBook ISBN: 978-1-4612-1718-3Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 2

  • Number of Pages: XVI, 232

  • Topics: Probability Theory and Stochastic Processes, Applications of Mathematics

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