Abstract

In this paper, we offer a gentle introduction to Gaussian processes for time-series data analysis. The conceptual framework of Bayesian modelling for time-series data is discussed and the foundations of Bayesian non-parametric modelling presented for Gaussian processes. We discuss how domain knowledge influences design of the Gaussian process models and provide case examples to highlight the approaches.

Citation impact

620
total citations
FWCI
28.17
Percentile
100%
References
31
Citations per year

Authors

6

Topics & keywords

Keywords
  • Gaussian process
  • Computer science
  • Series (stratigraphy)
  • Gaussian
  • Time series
  • Bayesian probability
  • Parametric statistics
  • Algorithm
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Funding