rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in Time Series Analysis and Forecasting
    sub title: Selected Contributions from ITISE 2016
  name:
    name part: Rojas, Ignacio.
    role:
      role term: editor.
  name:
    name part: Pomares, Héctor.
    role:
      role term: editor.
  name:
    name part: Valenzuela, Olga.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 414 p. 112 illus. online resource.
  abstract: This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series. The contributions were originally presented at the International Work-Conference on Time Series, ITISE 2016, held in Granada, Spain, June 27-29, 2016. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary rese arch encompassing the disciplines of computer science, mathematics, statistics and econometrics.
  table of contents: Preface -- Part I: Analysis of Irregularly Sampled Time Series: Techniques, Algorithms and Case Studies -- Scientific Contributions -- Part II: Multi-scale Analysis of Univariate and Multivariate Time Series -- Scientific Contributions -- Part III: Linear and Non-linear Time Series Models -- Scientific Contributions -- Part IV: Advanced Time Series Forecasting Methods -- Scientific Contributions -- Part V: Applications in Time Series Analysis and Forecasting -- Scientific Contributions -- Author Index.
  note: edited by Ignacio Rojas, Héctor Pomares, Olga Valenzuela.
  subject:
    topic: Statistics
  subject:
    topic: Mathematical statistics
  subject:
    topic: Probabilities
  subject:
    topic: Econometrics
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Business/Economics/Mathematical Finance/Insurance
  subject:
    topic: Econometrics
  subject:
    topic: Probability and Statistics in Computer Science
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Contributions to Statistics
  identifier: 9783319557892
  identifier: http://dx.doi.org/10.1007/978-3-319-55789-2
  record info:
    record creation date: 170802
    record change date: 20170810141651.0
    record identifier: 978-3-319-55789-2