Skip to main content
Taylor & Francis Group Logo
    Advanced Search

    Click here to search products using title name,author name and keywords.

    • Login
    • Hi, User  
      • Your Account
      • Logout
      Advanced Search

      Click here to search products using title name,author name and keywords.

      Breadcrumbs Section. Click here to navigate to respective pages.

      Book

      Time Series Prediction
      loading

      Book

      Time Series Prediction

      DOI link for Time Series Prediction

      Time Series Prediction book

      Forecasting The Future And Understanding The Past

      Time Series Prediction

      DOI link for Time Series Prediction

      Time Series Prediction book

      Forecasting The Future And Understanding The Past
      ByAndreas S. Weigend
      Edition 1st Edition
      First Published 1994
      eBook Published 17 June 2019
      Pub. Location New York
      Imprint Routledge
      DOI https://doi.org/10.4324/9780429492648
      Pages 663
      eBook ISBN 9780429492648
      Subjects Social Sciences
      Share
      Share

      Get Citation

      Weigend, A.S. (1994). Time Series Prediction: Forecasting The Future And Understanding The Past (1st ed.). Routledge. https://doi.org/10.4324/9780429492648

      ABSTRACT

      The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.

      TABLE OF CONTENTS

      chapter |70 pages

      The Future of Time Series: Learning and Understanding

      part |2 pages

      Section I. Description of the Data Sets

      chapter |32 pages

      Lorenz-Like Chaos in NH3-FIR Lasers (Data Set A)

      chapter |26 pages

      Multi-Channel Physiological Data: Description and Analysis (Data Set B)

      chapter |8 pages

      Foreign Currency Dealing: A Brief Introduction (Data Set C)

      chapter |12 pages

      Whole Earth Telescope Observations of the White Dwarf Star (PG1159-035) (Data Set E)

      chapter |22 pages

      Baroque Forecasting: On Completing J. S. Bach’s Last Fugue (Data Set F)

      part |2 pages

      Section II. Time Series Prediction

      chapter |20 pages

      Time Series Prediction by Using Delay Coordinate Embedding (Data Set A)

      chapter |24 pages

      Time Series Prediction by Using a Connectionist Network with Internal Delay Lines (Data Set A)

      chapter |24 pages

      Simple Architectures on Fast Machines: Practical Issues in Nonlinear Time Series Prediction (Data Sets C,D,F)

      chapter |22 pages

      Neural Net Architectures for Temporal Sequence Processing (Data Set C)

      chapter |18 pages

      Forecasting Probability Densities by Using Hidden Markov Models with Mixed States (Data Set D)

      chapter |14 pages

      Time Series Prediction by Using the Method of Analogues (Data Set A)

      chapter |22 pages

      Modeling Time Series by Using Multivariate Adaptive Regression Splines (MARS) (Data Sets A,B,C)

      chapter |4 pages

      Visual Fitting and Extrapolation (Data Set A)

      chapter |22 pages

      Does a Meeting in Santa Fe Imply Chaos? (Data Set A)

      part |2 pages

      Section III. Time Series Analysis and Characterization

      chapter |20 pages

      Exploring the Continuum Between Deterministic and Stochastic Modeling (Data Sets A,B,D)

      chapter |20 pages

      Estimating Generalized Dimensions and Choosing Time Delays: A Feist Algorithm (Data Sets A,D)

      chapter |28 pages

      Identifying and Quantifying Chaos by Using Information-Theoretic Functionals (Data Sets A,D,E)

      chapter |14 pages

      A Geometrical Statistic for Detecting Deterministic Dynamics (Data Sets A,B,C,D)

      chapter |28 pages

      Detecting Nonlinearity in Data with Long Coherence Times (Data Set E)

      chapter |18 pages

      Nonlinear Diagnostics and Simple Trading Rules for High-Frequency Foreign Exchange Rates (Data Set C)

      chapter |16 pages

      Noise Reduction by Local Reconstruction of the Dynamics (Data Set A)

      part |2 pages

      Section IV. Practice and Promise

      chapter |20 pages

      Large-Scale Linear Methods for Interpolation, Realization, and Reconstruction of Noisy, Irregularly Sampled Data

      chapter |16 pages

      Complex Dynamics in Physiology and Medicine

      chapter |10 pages

      Forecasting in Economics

      chapter |18 pages

      Finite-Dimensional Spatial Disorder: Description and Analysis

      chapter |12 pages

      Spatio-Temporal Patterns: Observations and Analysis

      T&F logoTaylor & Francis Group logo
      • Policies
        • Privacy Policy
        • Terms & Conditions
        • Cookie Policy
        • Privacy Policy
        • Terms & Conditions
        • Cookie Policy
      • Journals
        • Taylor & Francis Online
        • CogentOA
        • Taylor & Francis Online
        • CogentOA
      • Corporate
        • Taylor & Francis Group
        • Taylor & Francis Group
        • Taylor & Francis Group
        • Taylor & Francis Group
      • Help & Contact
        • Students/Researchers
        • Librarians/Institutions
        • Students/Researchers
        • Librarians/Institutions
      • Connect with us

      Connect with us

      Registered in England & Wales No. 3099067
      5 Howick Place | London | SW1P 1WG © 2022 Informa UK Limited