Gaussian processes for time-series modelling

Resource | v1 | created by janarez |
Type Paper
Created 2013-02-13
Identifier ISSN: 1364-503X, 1471-2962


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.


about Gaussian process

In probability theory and statistics, a Gaussian process is a stochastic process (a collection of ran...

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