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Tag Bayesian modeling

Fractional Gaussian Noise: Understanding Prior Specification and Model Comparison

Fractional Gaussian noise (fGn) is a crucial concept in the field of stochastic processes, particularly in modeling anti-persistent or persistent dependency structures within time series data. This article delves into the research conducted by Sigrunn Holbek S∅rbye and H∅vard Rue,… Continue Reading →

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