Applications of Time Series Analysis

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 284

Special Issue Editor

School of Mathematics and Statistics, Carleton University, Ottawa, ON K1S 5B6, Canada
Interests: time series analysis; spatio-temporal analysis; quantile regression; functional and structural MRI; interdisciplinary research

Special Issue Information

Dear Colleagues,

Time series analysis, with its diverse applications spanning from finance to climate science and from medicine to marketing, plays a pivotal role in uncovering patterns, forecasting trends, and driving decision-making processes in various domains. We aim to explore innovative dimensions within this domain, delving into theoretical frameworks, potential applications, and the seamless integration with machine learning, neural networks (NNs), as well as recent breakthroughs in multivariate and high-dimensional analyses across various domains.

Dr. Esam Mahdi
Guest Editor

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Keywords

  • time series models
  • ARMA model
  • ARCH model
  • leverage
  • long memory
  • nonlinear time series
  • forecasting methods
  • portmanteau tests
  • autocorrelation function
  • time-varying parameters
  • machine learning models
  • neural networks
  • temporal data mining
  • cryptocurrency analysis

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Published Papers

This special issue is now open for submission.
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